115 Regularization Jobs

Location : Chembur west Industry : Plastic Manufacturing Required experience only in manufacturing background. Working days and time: Monday to Saturday 9.30am to 6.30pm Roles and Responsibilities For Export Shipping Planning & Execution of Export Orders received from Sales Team. Co-ordination with Liner, Freight Forwarder, and Transporter for Cargo Booking and container placement. Negotiation of Ocean / Air freight rates with CHA, forwarders, and transporters. Preparation of Pre-Shipment Export Documentation. Analyzing the Letters of Credit. Maintaining proper records with soft and hard copies, preparing MIS and daily reports. Communicating and driving the message within the export documentation team and other relevant stakeholders. Co-ordination with Custom Brokers for filling of Shipping Bills under Various Incentive Schemes. Preparation of Post-Shipment Export Documentation as per Customer and overseas statutory requirements. Follow up with ADC by visiting / FSSAI to get NOC. Co-ordination with Export Inspection Agency for Pre-shipment inspection Certificate (SGS, Intertek & Bureau Veritas). Co-ordination with the Chamber of Commerce to get the non-Preferential Certificate of Origin. Follow - up with EpGC to cover Export shipments. For Import Co-ordinate with the supplier to get quotes under various incoterms. Co-ordination and follow-up with overseas suppliers for Import Shipment Status and documents. Co-ordination with Finance for Payment of Customs Duty and for Customer Payment. Follow up with ADC with a visit / FSSAI to get NOC. Co-ordination with Liner, Freight Forwarder, Transporter, and Custom Broker for speedy clearance of Import Export Cargo. Processing of Vendor Bills. For DGFT, Customs Responsible for Advance Licenses / EPCG Application, Redemption, and Bond Closure. Monitor Duty Drawback claims under Section 75. Renewal of IGST LUT. Responsible for renewal of Export House Certificate. Responsible for the generation of waybills on GST Portal for Inward / Outward Cargo. Visits to various Customs Office, DGFT, GST, Export Promotion Councils, Export Inspection Agency as and when required. Document Submission and follow up with Bank for BRC’s and control and monitoring EDPMS data and IDPMS data. Modifications in IEC and renewal of all the EXIM-related documents on timely basis. Preparation & Finalization of Letter of Credit. Replies to Demand Notice of Import Licenses to attend PH for Customs Nhava Sheva / Air Cargo complete Co-ordinate for our end duty collection, all the required documents from Export Dept. Replies to Deficiency Letters of Import Licenses as well as Customs Duty Calculation to present at Customs Nhava Sheva / Air Cargo. Complete successfully done calculation of Composition fees regularization and redemption/clubbing purpose subject to payment of composition fees @0.5% per month on the unfulfilled FOB value, if exports are fulfilled more than 50% within initial /extended EOP or @ 1% per month where exports have been made less than 50% within initial/extended EOP.

Genpact (NYSE: G) is a global professional services and solutions firm dedicated to shaping the future by delivering impactful outcomes. With a team of over 125,000 professionals spread across more than 30 countries, we are characterized by our inherent curiosity, entrepreneurial spirit, and commitment to creating enduring value for our clients. Fueled by our overarching purpose of continually striving towards a world that functions better for individuals, we partner with and enhance leading enterprises, including members of the prestigious Fortune Global 500. Our core competencies revolve around in-depth business and industry expertise, digital operational services, and proficiency in data, technology, and AI. We are currently seeking applications for the position of Business Analyst - Data Scientist to join our dynamic team. As a Business Analyst - Data Scientist at Genpact, you will play a pivotal role in the development and implementation of NLP (Natural Language Processing) models and algorithms, extracting actionable insights from textual data, and collaborating with cross-functional teams to deliver innovative AI solutions. **Responsibilities:** **Model Development:** - Proficiency in various statistical, machine learning, and ensemble algorithms. - Strong understanding of time series algorithms and forecasting use cases. - Ability to discern the strengths and weaknesses of different models and select appropriate ones for specific problems. - Proficiency in evaluating metrics and recommending suitable evaluation metrics for different problem types. **Data Analysis:** - Extracting meaningful insights from structured data. - Preprocessing data for machine learning/artificial intelligence applications. **Collaboration:** - Close collaboration with data scientists, engineers, and business stakeholders. - Providing technical guidance and mentorship to team members. **Integration and Deployment:** - Integrating machine learning models into production systems. - Implementing CI/CD pipelines for continuous integration and deployment. **Documentation and Training:** - Documenting processes, models, and results. - Providing training and support to stakeholders on NLP techniques and tools. **Qualifications we seek in you:** **Minimum Qualifications / Skills:** - Bachelor's degree in computer science, engineering, or a related field. - Proficient programming skills in Python and R. - Experience with data science frameworks such as SKLEARN and NUMPY. - Knowledge of machine learning concepts and frameworks like TensorFlow and PyTorch. - Strong problem-solving and analytical capabilities. - Excellent communication and collaboration skills. **Preferred Qualifications/Skills:** - Experience in predictive analytics and machine learning techniques. - Proficiency in Python/R or any other open-source programming language. - Building and implementing models, using algorithms, and running simulations with various tools. - Familiarity with visualization tools such as Tableau, Power BI, Qlikview, etc. - Proficiency in applied statistics skills, including distributions, statistical testing, regression, etc. - Knowledge and experience in various tools and techniques like forecasting, linear regression, logistic regression, machine learning algorithms (e.g., Random Forest, Gradient Boosting, SVM, XGBoost, Deep Learning), etc. - Experience with big data technologies (Hadoop, Spark). - Familiarity with cloud platforms like AWS, Azure, GCP. **Job Details:** **Title:** Business Analyst - Data Scientist **Primary Location:** India-Hyderabad **Education Level:** Bachelor's / Graduation / Equivalent **Job Posting:** Apr 1, 2025, 2:47:23 AM **Unposting Date:** May 1, 2025, 1:29:00 PM **Master Skills List:** Digital **Job Category:** Full Time,

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Data Scientist AI Garage is responsible for establishing Mastercard as an AI powerhouse. AI will be leveraged and implemented at scale within Mastercard providing a foundational, competitive advantage for the future. All internal processes, all products and services will be enabled by AI continuously advancing our value proposition, consumer experience, and efficiency. Opportunity Join Mastercard's AI Garage @ Gurgaon, a newly created strategic business unit executing on identified use cases for product optimization and operational efficiency securing Mastercard's competitive advantage through all things AI. The AI professional will be responsible for the creative application and execution of AI use cases, working collaboratively with other AI professionals and business stakeholders to effectively drive the AI mandate. Role Ensure all AI solution development is in line with industry standards for data management and privacy compliance including the collection, use, storage, access, retention, output, reporting, and quality of data at Mastercard Adopt a pragmatic approach to AI, capable of articulating complex technical requirements in a manner this is simple and relevant to stakeholder use cases Gather relevant information to define the business problem interfacing with global stakeholders Creative thinker capable of linking AI methodologies to identified business challenges Identify commonalities amongst use cases enabling a microservice approach to scaling AI at Mastercard, building reusable, multi-purpose models Develop AI/ML solutions/applications leveraging the latest industry and academic advancements Leverage open and closed source technologies to solve business problems Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda Partner with technical teams to implement developed solutions/applications in production environment Support a learning culture continuously advancing AI capabilities All About You Experience Experience in the Data Sciences field with a focus on AI strategy and execution and developing solutions from scratch Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: o Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL o Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning o Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil o Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing o Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Exposure or experience using collaboration tools such as: o Confluence (Documentation) o Bitbucket/Stash (Code Sharing) o Shared Folders (File Sharing) o ALM (Project Management) Knowledge of payments industry a plus Experience with SAFe (Scaled Agile Framework) process is a plus Effectiveness Effective at managing and validating assumptions with key stakeholders in compressed timeframes, without hampering development momentum Capable of navigating a complex organization in a relentless pursuit of answers and clarity Enthusiasm for Data Sciences embracing the creative application of AI techniques to improve an organization's effectiveness Ability to understand technical system architecture and overarching function along with interdependency elements, as well as anticipate challenges for immediate remediation Ability to unpack complex problems into addressable segments and evaluate AI methods most applicable to addressing the segment Incredible attention to detail and focus instilling confidence without qualification in developed solutions Core Capabilities Strong written and oral communication skills Strong project management skills Concentration in Computer Science Some international travel required Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Manager Data Scientist AI Garage is responsible for establishing Mastercard as an AI powerhouse. AI will be leveraged and implemented at scale within Mastercard providing a foundational, competitive advantage for the future. All internal processes, all products and services will be enabled by AI continuously advancing our value proposition, consumer experience, and efficiency. Opportunity Join Mastercard's AI Garage @ Gurgaon, a newly created strategic business unit executing on identified use cases for product optimization and operational efficiency securing Mastercard's competitive advantage through all things AI. The AI professional will be responsible for the creative application and execution of AI use cases, working collaboratively with other AI professionals and business stakeholders to effectively drive the AI mandate. Role Ensure all AI solution development is in line with industry standards for data management and privacy compliance including the collection, use, storage, access, retention, output, reporting, and quality of data at Mastercard Adopt a pragmatic approach to AI, capable of articulating complex technical requirements in a manner this is simple and relevant to stakeholder use cases Gather relevant information to define the business problem interfacing with global stakeholders Creative thinker capable of linking AI methodologies to identified business challenges Identify commonalities amongst use cases enabling a microservice approach to scaling AI at Mastercard, building reusable, multi-purpose models Develop AI/ML solutions/applications leveraging the latest industry and academic advancements Leverage open and closed source technologies to solve business problems Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda Partner with technical teams to implement developed solutions/applications in production environment Support a learning culture continuously advancing AI capabilities All About You Experience Experience in the Data Sciences field with a focus on AI strategy and execution and developing solutions from scratch Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: o Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL o Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning o Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil o Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing o Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Exposure or experience using collaboration tools such as: o Confluence (Documentation) o Bitbucket/Stash (Code Sharing) o Shared Folders (File Sharing) o ALM (Project Management) Knowledge of payments industry a plus Experience with SAFe (Scaled Agile Framework) process is a plus Effectiveness Effective at managing and validating assumptions with key stakeholders in compressed timeframes, without hampering development momentum Capable of navigating a complex organization in a relentless pursuit of answers and clarity Enthusiasm for Data Sciences embracing the creative application of AI techniques to improve an organization's effectiveness Ability to understand technical system architecture and overarching function along with interdependency elements, as well as anticipate challenges for immediate remediation Ability to unpack complex problems into addressable segments and evaluate AI methods most applicable to addressing the segment Incredible attention to detail and focus instilling confidence without qualification in developed solutions Core Capabilities Strong written and oral communication skills Strong project management skills Concentration in Computer Science Some international travel required #AI1 Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Software Engineer II We are the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. The Mastercard Launch program is aimed at early career talent, to help you develop skills and gain cross-functional work experience. Over a period of 18 months, Launch participants will be assigned to a business unit, learn and develop skills, and gain valuable on the job experience. Mastercard has over 2 billion payment cards issued by 25,000+ banks across 190+ countries and territories, amassing over 10 petabytes of data. Millions of transactions are flowing to Mastercard in real-time providing an ideal environment to apply and leverage AI at scale. The AI team is responsible for building and deploying innovative AI solutions for all divisions within Mastercard securing a competitive advantage. Our objectives include achieving operational efficiency, improving customer experience, and ensuring robust value propositions of our core products (Credit, Debit, Prepaid) and services (recommendation engine, anti-money laundering, fraud risk management, cybersecurity) Role Gather relevant information to define the business problem Creative thinker capable of linking AI methodologies to identified business challenges Develop AI/ML applications leveraging the latest industry and academic advancements Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda All About You : Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Concentration in Computer Science Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Manager Data Scientist AI Garage is responsible for establishing Mastercard as an AI powerhouse. AI will be leveraged and implemented at scale within Mastercard providing a foundational, competitive advantage for the future. All internal processes, all products and services will be enabled by AI continuously advancing our value proposition, consumer experience, and efficiency. Opportunity Join Mastercard's AI Garage @ Gurgaon, a newly created strategic business unit executing on identified use cases for product optimization and operational efficiency securing Mastercard's competitive advantage through all things AI. The AI professional will be responsible for the creative application and execution of AI use cases, working collaboratively with other AI professionals and business stakeholders to effectively drive the AI mandate. Role Ensure all AI solution development is in line with industry standards for data management and privacy compliance including the collection, use, storage, access, retention, output, reporting, and quality of data at Mastercard Adopt a pragmatic approach to AI, capable of articulating complex technical requirements in a manner this is simple and relevant to stakeholder use cases Gather relevant information to define the business problem interfacing with global stakeholders Creative thinker capable of linking AI methodologies to identified business challenges Identify commonalities amongst use cases enabling a microservice approach to scaling AI at Mastercard, building reusable, multi-purpose models Develop AI/ML solutions/applications leveraging the latest industry and academic advancements Leverage open and closed source technologies to solve business problems Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda Partner with technical teams to implement developed solutions/applications in production environment Support a learning culture continuously advancing AI capabilities Experience All About You Experience in the Data Sciences field with a focus on AI strategy and execution and developing solutions from scratch Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Exposure or experience using collaboration tools such as: Confluence (Documentation) Bitbucket/Stash (Code Sharing) Shared Folders (File Sharing) ALM (Project Management) Knowledge of payments industry a plus Experience with SAFe (Scaled Agile Framework) process is a plus Effectiveness Effective at managing and validating assumptions with key stakeholders in compressed timeframes, without hampering development momentum Capable of navigating a complex organization in a relentless pursuit of answers and clarity Enthusiasm for Data Sciences embracing the creative application of AI techniques to improve an organization's effectiveness Ability to understand technical system architecture and overarching function along with interdependency elements, as well as anticipate challenges for immediate remediation Ability to unpack complex problems into addressable segments and evaluate AI methods most applicable to addressing the segment Incredible attention to detail and focus instilling confidence without qualification in developed solutions Core Capabilities Strong written and oral communication skills Strong project management skills Concentration in Computer Science Some international travel required #AI1 Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Senior Data Scientist We are the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. The Mastercard Launch program is aimed at early career talent, to help you develop skills and gain cross-functional work experience. Over a period of 18 months, Launch participants will be assigned to a business unit, learn and develop skills, and gain valuable on the job experience. Mastercard has over 2 billion payment cards issued by 25,000+ banks across 190+ countries and territories, amassing over 10 petabytes of data. Millions of transactions are flowing to Mastercard in real-time providing an ideal environment to apply and leverage AI at scale. The AI team is responsible for building and deploying innovative AI solutions for all divisions within Mastercard securing a competitive advantage. Our objectives include achieving operational efficiency, improving customer experience, and ensuring robust value propositions of our core products (Credit, Debit, Prepaid) and services (recommendation engine, anti-money laundering, fraud risk management, cybersecurity) Role Gather relevant information to define the business problem Creative thinker capable of linking AI methodologies to identified business challenges Develop AI/ML applications leveraging the latest industry and academic advancements Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda All About You : Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Concentration in Computer Science Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Senior Data Scientist AI Garage is responsible for establishing Mastercard as an AI powerhouse. AI will be leveraged and implemented at scale within Mastercard providing a foundational, competitive advantage for the future. All internal processes, all products and services will be enabled by AI continuously advancing our value proposition, consumer experience, and efficiency. Opportunity Join Mastercard's AI Garage @ Gurgaon, a newly created strategic business unit executing on identified use cases for product optimization and operational efficiency securing Mastercard's competitive advantage through all things AI. The AI professional will be responsible for the creative application and execution of AI use cases, working collaboratively with other AI professionals and business stakeholders to effectively drive the AI mandate. Role Ensure all AI solution development is in line with industry standards for data management and privacy compliance including the collection, use, storage, access, retention, output, reporting, and quality of data at Mastercard Adopt a pragmatic approach to AI, capable of articulating complex technical requirements in a manner this is simple and relevant to stakeholder use cases Gather relevant information to define the business problem interfacing with global stakeholders Creative thinker capable of linking AI methodologies to identified business challenges Identify commonalities amongst use cases enabling a microservice approach to scaling AI at Mastercard, building reusable, multi-purpose models Develop AI/ML solutions/applications leveraging the latest industry and academic advancements Leverage open and closed source technologies to solve business problems Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda Partner with technical teams to implement developed solutions/applications in production environment Support a learning culture continuously advancing AI capabilities Experience All About You Experience in the Data Sciences field with a focus on AI strategy and execution and developing solutions from scratch Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Exposure or experience using collaboration tools such as: Confluence (Documentation) Bitbucket/Stash (Code Sharing) Shared Folders (File Sharing) ALM (Project Management) Knowledge of payments industry a plus Experience with SAFe (Scaled Agile Framework) process is a plus Effectiveness Effective at managing and validating assumptions with key stakeholders in compressed timeframes, without hampering development momentum Capable of navigating a complex organization in a relentless pursuit of answers and clarity Enthusiasm for Data Sciences embracing the creative application of AI techniques to improve an organization's effectiveness Ability to understand technical system architecture and overarching function along with interdependency elements, as well as anticipate challenges for immediate remediation Ability to unpack complex problems into addressable segments and evaluate AI methods most applicable to addressing the segment Incredible attention to detail and focus instilling confidence without qualification in developed solutions Core Capabilities Strong written and oral communication skills Strong project management skills Concentration in Computer Science Some international travel required Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Business FunctionCorporate and Investment Banking provides corporate customers with a full range of commercial banking products and services, including cash management services, current accounts, time deposits, trade finance, working capital finance, term loans and foreign exchange. Through our continued commitment, DBS has cultivated long-standing relationships with its customers in the region that are based on account relationship management, service differentiation, product development and rigorous credit standards.Job Purpose* To support Relationship Management teams in the following activities,* Preparation and submission of Credit Memo to CCG* Completion of documentation formalities in coordination with the client & CCU* Assisting RM in completing Legal & Valuation reports* Follow up of overdue for regularization* Client servicing in coordination with internal units.* Highlighting any early warning signs of the portfolio to the RMs* Manage the existing portfolio of all clients for the designated relationship teams as well as explore opportunities for cross sell of other transaction banking products and help the team in detecting early warning signals in their portfolios.Key Accountabilities* To prepare credit proposals in a consistent, concise and lucid manner.* To maintain close working relationship with Business Unit to ensure that IBG deliverables are met.* Need-based meeting with customers to understand business and attendant risks.* Cross sell of other products such as trade, cash and foreign exchange.* To monitor portfolio for irregularities/ excesses/ breaches/ delays.* Ensure all regulatory reporting & compliances are enforced. Work with the legal team to ensure recoveries & minimize bad debts & NPA’s. Also ensure assistance to external & internal audits.* Ensure customer retention & increase in wallet share by constantly monitoring customer satisfaction levels through detailed MIS & tracking of operations & complaints.* Control and quality of the portfolio, using available triggers and adherence to Risk management guidelines and policies.* Monitor levels of complaints and quality of handling.* Communicates all key messages to customers including agreed service standards, negotiated pricing, relationship team contact points (including introductions to new personnel) and new product changes.* Monitor and ensure adherence to risk service standardsJob Duties & responsibilities* Preparing spreads which are consistent, error-free and in line with classification parameters used in DBS.* Providing concise and relevant financial analysis by clearly identifying risks.* Ensure reviews are completed prior to due date and are error free.* Interact and follow up with clients on required information and clarifications.* Adhere to the risk management guidelines of DBS, MAS and RBI.* Ensuring that irregularities/ excesses in the portfolio are kept within control. Develop and maintain a detailed knowledge of industry sectors within the customer portfolio.* Control and manage the risk profile for the overall Team portfolio.* Manage performance against key financial (risk-adjusted contribution) sales, service and operational targets.* Develop Account Relationship Plans for customers in portfolio.Requirements* Overall experice in sales / sales support activities.* 2 - 5 years of sales experience in business banking and/or cash management.* Proven sales track record in asset business in the SME/Business Banking segment.* Knowledge of competitors and marketplace* Market knowledge and experience in the Mid-market / SME segment, with reference to customer preferences and requirement would be preferable.* Education / Preferred Qualifications* An MBA or CA with relevant number of years of experience in banking and specifically in selling asset products in the Mid-Market Banking segment.Core Competencies* Good written and verbal communication skills* Good Analytical skills.* Self-driven and highly ambitious* Results-orientated & the ability to handle pressure* Relationship building & management skills* Understanding of competitor products* Comfortable with tight deadlinesTechnical Competencies* Sound understanding of asset products and associated technology platforms and operational procedures* Understanding of regulatory guidelines on banking policies issued by MAS/ RBI/SEBI (local regulations in India) and local laws and regulations that impact businesses in general. Understanding of KYC requirements & Anti-money Laundering Policies are critical.* Knowledge of financial markets, products & competitor offerings to assist in meaningful dialogue with clientsWork Relationship* Close interaction with RMs / Branch Managers to ensure consistent on boarding of good quality customers and thereby assisting in delivery of Sales targets.* Close interaction with various stakeholders to ensure consistent and reliable service delivery to the customer.DBS India - Culture & BehaviorsDBS is committed to building a culture where all employees are valued, respected and their opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working, and opportunities to grow within an inclusive and diverse environment. Expected value driven behaviors are: * Demonstrate Business Performance through PRIDE 2.0 Value Based Propositions* Ensure Customer Focus by Delighting Customers & Reduce Complaints* Build Pride and Passion to Protect, Maintain and Enhance DBS’ Reputation* Enhance Self Knowledge, Skills and develop Competencies aimed at continuous improvement* Maintain the Highest Standards of Honesty and Integrity.Apply NowWe offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.

About The Company Tata Communications Redefines Connectivity with Innovation and IntelligenceDriving the next level of intelligence powered by Cloud, Mobility, Internet of Things, Collaboration, Security, Media services and Network services, we at Tata Communications are envisaging a New World of Communications Job Description The role is part of the finance Centre of Excellence primarily as acting as a data analyst and will support planning & analysis in any one or more areas of finance including reporting & compliance, taxation, and treasury related areas. FPA COE is function under ambit of Planning and Analytics within FP&A- This role is primarily responsible for base data management, transformation of data to preliminary analytics, dashboarding and automation on all financial and non-financial parameters, which aid to management for business decision making Candidate will be responsible for overseeing data systems and overall reporting frameworks in FPA, and ensure the integrity and precision of data to generate insights and drive strategic business decisions. Responsibilities For the Planning and Analytics vertical, eligible candidate should be able to end to end data management including below, Data collection: Gathering data from primary or secondary sources, such as sales numbers, market research, or logistics. Data preparation: Cleaning and preprocessing data for accuracy Data analysis: Using statistical techniques to analyze data, identify patterns and trends, and perform complex analyses Data presentation: Creating visualizations and reports for stakeholders, using charts and graphs to present results Data management: Maintaining databases and utilizing SQL for data handling. Staying updated on industry trends and new technologies Business challenges: Addressing specific business challenges with analytical solutions Collaboration: Collaborating with cross-functional teams and providing technical support and mentoring to other analysts Quality assurance: Participating in quality assurance activities and supervising performance and quality assurance processes to pinpoint areas for enhancement In addition, candidate should have good communication and collaboration skills for cross-functional teams and providing technical support to other analysts Immediate Attention - GR and others dashboards control and data security with data hosting solution etc. GR dashboard analytics like with business ops. Documentation of process. Simplification(using SQL, python etc.) and regularization of ad hoc tasks. Hygiene parameters on accuracy check and other aspects. Customer master ownership. (align asks from Sachin, Business ops (Amol J or Anup), SIP team) Regular - Long Term Revenue MIS -Automation and Data Models for Dashboard NR review -Exception tracker - Data models and exception report dashboards Regional P&L Customer KPI ETR Model and automation MIS repository Data models for Forecasting and outlook. Minimum Qualification & Experience BTECH,MTECH, BCA, MCA or equivalent. Degree or Certification in relation to data management (like Data Science, Business Analysis, Python, Web Technologies etc.) 2 to 3 years experience in Finance MIS and analytics in telecom industry or equivalent related field. Desired Skill sets Power BI \ Qlik sense Skills \ Python SAP exposure required. Exceptional knowledge of Advanced Excel. Familiarity with finance and statistical analysis software Understanding of financial and accounting principles Understanding across finance domains (taxation, treasury etc.)

Job Title: Python Developer – AI/ML & LLM Application Development Experience: 2–4 Years Location: Shollinganallur, Chennai Employment Type: Full-Time Job Summary: We are looking for a skilled Python Developer with 2–4 years of experience who is passionate about LLM (Large Language Model) applications , API development , and Machine Learning . The ideal candidate should have a strong foundation in Python, experience working with modern AI/ML frameworks, and a solid understanding of LLM architecture and deployment. You will be involved in building intelligent systems leveraging cutting-edge tools like LangChain , Hugging Face , and vector databases , and contribute to full-cycle development from design to deployment. Key Responsibilities: Programming & Development Write clean, modular, and well-documented Python code using OOP principles . Manage version control using Git , GitHub, or GitLab. Perform unit testing , debugging, and maintain high code quality and documentation. API & Backend Development Build and maintain REST APIs using Django and Flask . Integrate external APIs including OpenAI , Anthropic , and open-source model APIs . LLM Application Development Develop Retrieval-Augmented Generation (RAG) systems. Work with vector databases like Pinecone , Weaviate , or Chroma . Build and scale LLM apps using LangChain and LlamaIndex . Design and implement prompt engineering strategies and few-shot learning setups. Machine Learning & Deep Learning Apply ML algorithms using Scikit-learn , XGBoost , LightGBM , etc. Handle data preprocessing, feature engineering, and model evaluation. Build deep learning models using PyTorch (preferred) or TensorFlow/Keras . Implement neural architectures like CNNs , RNNs , Transformers , and optimize using backpropagation and regularization techniques. LLM & NLP Integration Work with LLM architectures like GPT , BERT , and LLaMA . Use the Hugging Face Transformers library and tokenizers. Perform LoRA/QLoRA fine-tuning and experiment with open-source model deployments. Required Skills & Qualifications: 2–4 years of hands-on experience in Python development . Experience in REST API development using Django/Flask. Strong knowledge of OOP , version control systems, and debugging techniques. Familiarity with LangChain , LlamaIndex , and vector stores . Practical experience in machine learning model development and deployment. Working knowledge of LLM concepts , Hugging Face, and prompt engineering. Exposure to GPU computing and CUDA basics is a plus. Nice to Have: Experience deploying ML models on cloud platforms (AWS/GCP/Azure). Knowledge of CI/CD pipelines for ML systems. Open-source contributions or AI research exposure. Job Type: Full-time Pay: ₹10,393.72 - ₹30,000.00 per month Schedule: Monday to Friday Work Location: In person

Apply Now Job Title Team Leader, Operations Job Description The Team Leader, Operations is responsible for the day-to-day supervision of a group of call center associates. This position ensures performance metrics are achieved by providing adequate coaching, motivation and accountability. Essential Functions/Core Responsibilities Responsible for the day-to-day supervision of a group of call center associates including work and attendance monitoring in accordance with organization policy and applicable legal requirements Effectively coach direct reports on their performance on a regular basis to ensure performance metrics are achieved at a minimum weekly Identify performance related issues, develop an action plan for improvement, implement corrective action, up to and including termination of employment Ensure service delivered to our customers meets contractual Key Performance Indicator (‘KPIs’) and financial expectations Communicate expectations to employees and provide timely updates Provide subject matter expertise in handling escalated customer calls as needed Conduct Team Meetings to ensure expedient communication of relevant information and as an open forum for input. Schedule and organize team activities Stay current on internal work processes, policies and procedures. Attend required manager development training Promote the Concentrix values through both behavior and attitude, including being an advocate for team members Candidate Profile Associate's degree in related field with two to four years of relevant experience preferred Highly motivated individual with skills to develop and coach team members to achieve performance expectations Work well under pressure and follow through on items to completion Strong communication skills, both written and verbal Ability to lead team in multi-tasking, prioritization, and meeting timelines on deliverable Ability to mentor, coach and provide direction to a team of employees Willingness to work a flexible schedule Career Level Description Receives assignments in tasks oriented terms and supervises subordinates to set priorities and complete assignments. Coordinates and supervises the daily activities of business or technical support or production team members. In charge of handling single and medium-sized line of business. Decisions are guided by policies, procedures and business plan; receives guidance and oversight from manager. Drives direct reports to achieve set metrics and business goals thru coaching, mentoring and providing regular feedback. Typically does not spend more than 20% of time performing the work supervised. Handles escalated issues. Supervises non-exempt employees who generally perform either a single task or multiple, but closely related tasks. << Philippines ONLY, Additional Description >> Manage the employment status of call center associates and participate in the transfer, promotions or regularization of call center associates, which is necessary before any such employee-movement is made Exercises independent judgment and discretion in the performance of the said main function as a means to implement management policies Exercises authority to manage the employment status of a group of employees (firing, promotion, regularization, etc.) including identifying and addressing misconduct, policy and process violations of call center associates Stay current on internal work processes, management policies and procedures and ensures implementation of the same Implement management policies Support and manage the program together with other Team Leaders and Managers Providing input into selecting, training, developing, and completing performance appraisal of work group(s) in accordance with the organization’s policies and applicable legal requirements Manage team members on their performance on a regular basis, and write and deliver performance appraisal. The Team Leader’s role is a managerial level position, a position reposed with trust and confidence. Disclaimer The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of personnel working within this job title. Concentrix is an equal opportunity employer. Concentrix evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability status or any other legally protected characteristic. Location: IND Mumbai - Paradigm A, 8th & 9th floor, Malad Rajan Pada Language Requirements Time Type: Full time If you are a California resident, by submitting your information, you acknowledge that you have read and have access to the Job Applicant Privacy Notice for California Residents Apply Now

Job Requirements Phenom Introduction: Our purpose is to help a billion people find the right work! Phenom is an AI-Powered talent experience platform that is redefining the HR tech space. We have grown into a global organization with offices in 6 countries and over 1,500 employees. As an HR tech unicorn organization, innovation and creativity is within our DNA. Come help us make every talent moment Phenomenal! Core Description Parameters: We are seeking a highly skilled and motivated Data Analyst to join our AI & Ethics Team. In this role, you will work directly with our Data Science, Product and Engineering teams to analyze and improve our Phenomenal products for our Phenomenal clients. Have you ever collected your own dataset because you were so curious about some problem? Do you have experience asking “why” and “how” to get to the heart of a dataset? Have you ever helped an executive make a million dollar decision? Would you like to? What You’ll Do Use SQL to analyze, hypothesize, and solve complex business challenges, as well as to identify and visualize novel opportunities for growth. Should be willing to work on BI tools like “Looker" and "Superset" Perform data cleaning, transformation and validation using Excel, Python or R tools Partner with stakeholders to define key metrics and deliver insights on performance Design and execute A/B tests and evaluate their outcomes statistically Communicate Findings clearly through visualizations and presentations to technical and non-technical audiences Extract and report data using database queries with a preference for cloud experience, pipeline automation, and scalable analytics. Ensure data integrity and accuracy by adhering to best practices in data governance and documentation Use statistical modeling and prediction techniques to drive actionable insights. Demonstrate curiosity and a problem-solving, research mindset. Work independently with minimal supervision and communicate your findings to technical and non-technical audiences. What You’ve Done: Data Manipulation: Efficiently manipulate and analyze large datasets. Strong experience in extracting and reporting data using complex queries. Statistical Analysis: Proficiency with statistical concepts and techniques, including exploratory data analysis, hypothesis testing, confidence intervals, and experiment design. Proficiency in using statistical methods to derive meaningful conclusions from data. Data Visualization: Proficiency in using visualization libraries like Matplotlib or Seaborn to create clear, concise, and intuitive visualizations that communicate complex data insights to stakeholders. Model Evaluation and Validation: Proficiency in assessing model performance using metrics such as accuracy, precision, recall, F1 score, and area under the curve (AUC). Proficiency in techniques like cross-validation, train-test splits, and hyperparameter tuning to ensure robust model performance. Communication: Strong written, verbal, and visual communication skills. Desired/Good To Have Skills: Cloud platforms: Familiarity with cloud platforms for data analysis and orchestration like Snowflake, AWS Sagemaker, AWS Lambda, Airflow, Jenkins, Postman Machine Learning: Proficiency with fundamental machine learning algorithms such as linear regression, logistic regression, decision trees, random forests, and neural networks. Ability to use ML and statistical modeling to solve business problems. Feature Selection and Dimensionality Reduction: Familiarity with techniques like feature selection, feature engineering, regularization, and dimensionality reduction (e.g., PCA) to improve model efficiency, reduce overfitting, and enhance interpretability. Model Deployment : Experience in deploying machine learning models in production environments, utilizing frameworks like Flask or Django. Understanding of model serving, API development, and cloud deployment to enable real-time predictions. Dashboarding: Familiarity with BI and dashboarding software such as Superset, Looker and Tableau. Candidates with experience in the credit card, banking, or healthcare domains and/or strong mathematical and statistical backgrounds will be preferred. Education and Qualifications: Bachelor’s degree in computer science, Information Technology, or related field Experience: Looking for "4+ years" of experience as a Data Analyst Should be proficient in writing complex SQL queries Preferably looking for someone from Hyderabad Benefits: We want you to be your best self and to pursue your passions! Health and wellness benefits/programs to support holistic employee health Flexible hours and working schedules, as well as parental leave for new parents Growing organization with career pathing and development opportunities Tons of perks and extras in every location for all Phenoms! Diversity, Equity, & Inclusion: Our commitment to diversity runs deep! Diversity is essential to building phenomenal teams, products, and customer experiences. Phenom is proud to be an equal opportunity employer taking collective action to build a more inclusive environment where every candidate and employee feels welcomed. We recognize there is more to be done. Our teams are committed to continuous improvement until these powerful ideas are ingrained in our culture for Phenom and employers everywhere! #LI-JG1

About Tide At Tide, we are building a business management platform designed to save small businesses time and money. We provide our members with business accounts and related banking services, but also a comprehensive set of connected administrative solutions from invoicing to accounting. Launched in 2017, Tide is now used by over 1 million small businesses across the world and is available to UK, Indian and German SMEs. Headquartered in central London, with offices in Sofia, Hyderabad, Delhi, Berlin and Belgrade, Tide employs over 2,000 employees. Tide is rapidly growing, expanding into new products and markets and always looking for passionate and driven people. Join us in our mission to empower small businesses and help them save time and money. About The Role A talented Data Scientist (DS-3) with generative AI expertise to contribute to the development and implementation of advanced AI solutions. You'll work on generative AI projects, applying your skills in LangChain, LangGraph, SQL, Python, AWS Bedrock, and Databricks to solve business challenges as part of our innovative team. As a Lead Data Scientist You’ll Be Implementation & Development: Implement generative AI solutions leveraging AWS Bedrock and Databricks based on established architectural patterns Technical Execution: Apply your expertise in generative AI, LLMs, and related technologies to deliver high-quality solutions Cross-Functional Collaboration: Work with product, engineering, and business teams to understand requirements and implement effective AI solutions Statistical Analysis: Apply appropriate statistical methods to validate models and hypotheses Data Analysis: Conduct thorough exploratory data analysis and handle data quality issues effectively Feature Engineering: Implement feature engineering techniques for ML models, including dimensionality reduction and feature selection Model Development: Build and tune generative AI models using frameworks like LangChain and LangGraph with proper regularization techniques Intent Classification: Implement intent detection systems combining LLMs with data analysis techniques Response Generation: Develop components for generating structured responses by combining AI with business rules Continuous Learning: Stay current with generative AI techniques and apply new approaches to improve solutions Documentation & Knowledge Sharing: Create clear documentation and share knowledge with team members Testing & Validation: Thoroughly test generative AI applications to ensure they meet requirements and quality standards What Are We Looking For 6+ years of experience in data science, machine learning, or related field 1+ years of hands-on experience with generative AI, large language models (LLMs), or natural language processing Experience with traditional NLP models and techniques Strong proficiency in Python and SQL for data retrieval and processing Solid understanding of statistics, hypothesis testing, and probability distributions Experience with LangChain, LangGraph for implementing AI workflows Understanding of prompt engineering, RAG (Retrieval Augmented Generation), and fine-tuning techniques for LLMs Experience implementing intent detection systems using generative AI Familiarity with rule-based systems to augment AI capabilities Experience with cloud platforms, particularly AWS services Familiarity with Knowledge Graphs for LLM use cases Knowledge of evaluation approaches for generative AI outputs Experience with Databricks or similar data processing platforms Nice To Have Advanced degree in Computer Science, Data Science, Machine Learning, or related field Experience in customer support AI applications Knowledge of vector databases and embedding techniques Familiarity with semantic search technologies Experience with data pipelines and ETL processes Knowledge of software development best practices including version control Contributions to data science or AI projects or communities What You Will Get In Return Make work, work for you! We are embracing new ways of working and support flexible working arrangements. With our Working Out of Office (WOO) policy our colleagues can work remotely from home or anywhere in their assigned Indian state. Additionally, you can work from a different country or Indian state for 90 days of the year. Plus, you’ll get: Competitive salary Self & Family Health Insurance Term & Life Insurance OPD Benefits Mental wellbeing through Plumm Learning & Development Budget WFH Setup allowance 15 days of Privilege leaves 12 days of Casual leaves 12 days of Sick leaves 3 paid days off for volunteering or L&D activities Stock Options TIDEAN WAYS OF WORKING At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community. TIDE IS A PLACE FOR EVERYONE At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives. We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard. At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard. You personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice .

About Tide At Tide, we are building a business management platform designed to save small businesses time and money. We provide our members with business accounts and related banking services, but also a comprehensive set of connected administrative solutions from invoicing to accounting. Launched in 2017, Tide is now used by over 1 million small businesses across the world and is available to UK, Indian and German SMEs. Headquartered in central London, with offices in Sofia, Hyderabad, Delhi, Berlin and Belgrade, Tide employs over 2,000 employees. Tide is rapidly growing, expanding into new products and markets and always looking for passionate and driven people. Join us in our mission to empower small businesses and help them save time and money. About The Role A talented Data Scientist (DS-3) with generative AI expertise to contribute to the development and implementation of advanced AI solutions. You'll work on generative AI projects, applying your skills in LangChain, LangGraph, SQL, Python, AWS Bedrock, and Databricks to solve business challenges as part of our innovative team. As a Lead Data Scientist You’ll Be Implementation & Development: Implement generative AI solutions leveraging AWS Bedrock and Databricks based on established architectural patterns Technical Execution: Apply your expertise in generative AI, LLMs, and related technologies to deliver high-quality solutions Cross-Functional Collaboration: Work with product, engineering, and business teams to understand requirements and implement effective AI solutions Statistical Analysis: Apply appropriate statistical methods to validate models and hypotheses Data Analysis: Conduct thorough exploratory data analysis and handle data quality issues effectively Feature Engineering: Implement feature engineering techniques for ML models, including dimensionality reduction and feature selection Model Development: Build and tune generative AI models using frameworks like LangChain and LangGraph with proper regularization techniques Intent Classification: Implement intent detection systems combining LLMs with data analysis techniques Response Generation: Develop components for generating structured responses by combining AI with business rules Continuous Learning: Stay current with generative AI techniques and apply new approaches to improve solutions Documentation & Knowledge Sharing: Create clear documentation and share knowledge with team members Testing & Validation: Thoroughly test generative AI applications to ensure they meet requirements and quality standards What Are We Looking For 6+ years of experience in data science, machine learning, or related field 1+ years of hands-on experience with generative AI, large language models (LLMs), or natural language processing Experience with traditional NLP models and techniques Strong proficiency in Python and SQL for data retrieval and processing Solid understanding of statistics, hypothesis testing, and probability distributions Experience with LangChain, LangGraph for implementing AI workflows Understanding of prompt engineering, RAG (Retrieval Augmented Generation), and fine-tuning techniques for LLMs Experience implementing intent detection systems using generative AI Familiarity with rule-based systems to augment AI capabilities Experience with cloud platforms, particularly AWS services Familiarity with Knowledge Graphs for LLM use cases Knowledge of evaluation approaches for generative AI outputs Experience with Databricks or similar data processing platforms Nice To Have Advanced degree in Computer Science, Data Science, Machine Learning, or related field Experience in customer support AI applications Knowledge of vector databases and embedding techniques Familiarity with semantic search technologies Experience with data pipelines and ETL processes Knowledge of software development best practices including version control Contributions to data science or AI projects or communities What You Will Get In Return Make work, work for you! We are embracing new ways of working and support flexible working arrangements. With our Working Out of Office (WOO) policy our colleagues can work remotely from home or anywhere in their assigned Indian state. Additionally, you can work from a different country or Indian state for 90 days of the year. Plus, you’ll get: Competitive salary Self & Family Health Insurance Term & Life Insurance OPD Benefits Mental wellbeing through Plumm Learning & Development Budget WFH Setup allowance 15 days of Privilege leaves 12 days of Casual leaves 12 days of Sick leaves 3 paid days off for volunteering or L&D activities Stock Options TIDEAN WAYS OF WORKING At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community. TIDE IS A PLACE FOR EVERYONE At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives. We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard. At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard. You personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice .

POSITION: Company Secretary LOCATION: Mumbai, India HOURS: General Shift EDUCATION: CS, LLB BACKGROUND: 3-5 years of experience of working in a similar industry as Aeries Preferably IT/ITES/BPO/KPO SHIFTS (if any): 11:00 am onwards (candidate should be flexible to work as per the business requirement) Roles & Responsibilities Primary responsibility to ensure that all group entities are compliant, and all filings are up to date. Research and implementation of latest regulation changes Conducting Board Meetings and General Meetings as required under Companies Act involving issuance of notices, drafting Agenda, recording minutes, maintaining statutory registers, and doing statutory filings as mandated by Companies Act. Managing applicable compliances, with special emphasis on NBFC compliances, through the automated compliance management system of the Company Representing the Company before Ministry of Corporate Affairs, Company Law Board, RBI, and other statutory authorities. Conducting Secretarial due diligence for the purposes of the groups M&A activities Managing procedural formalities pertaining to Merger and Acquisition of companies Attending to application for Registration of Trademarks, Copyrights and Patents Completing Annual ROC filings, director disclosures, director KYC, renewals including MSME renewals and MSME filings, RBI and FEMA compliances including FLA, APR, CPIS filing and ODI, DI, FC-TRS and FC_GPR on transaction basis for group companies Preparing Statutory registers, Board Reports, XBRL reporting, CSR compliances. Preparing transactional documents including Special resolutions for inter corporate deposits, ESOPs, share issue/transfer etc. Auditor appointment in every 5 year or on any change in auditor, Charge form on borrowings, Director appointment/resignation and their regularization in AGM, Document preparation for Bank account opening/modifications in signatories (very frequent), Incorporation of new entities, name changes, ESOPs, share transfer, right issue, private placement of shares, registered office change and all other incidental matters as and when needed. Preparing agreements for consultants, Preparing ICD agreements, Loan agreements, Share purchase agreements and all other inter company documents for compliance purposes. Arranging DSC’s, Payment of stamp duties on bank portal, Bank loan Mortgage registration, liasioning with banks, MCA and RBI, Obtaining PAN and TAN, Agreement execution on behalf of signatories Interaction with Group's Corporate legal firm in ensuring compliances. Ensuring efficient administration of entities within the Group or as specified, including compliance with statutory and regulatory requirements, and ensuring that decisions of the Board of Directors are implemented. Advising Board of Directors on Corporate law provisions and interpretations. Managing various regulatory functions like incorporation of an entity; sufficing preparation and audit of business reports; filing annual returns; dealing with amended regulations on a steady basis, etc. Obtaining government approvals; complying with regulatory procedures of Acts such as FEMA; State Insurance Act; Depositories Act 1996 etc.; monitoring and complying with various legal laws like Labor laws; Competition Laws; Environmental laws, etc. Qualification, Experience & Requirement Approved member of Institute of Company Secretaries of India (ICSI). Should hold 3-5 years of experience within the same field. Strong communication and drafting skills Team player & should be able to drive tasks independently. The Job responsibilities of the candidate shall include but not limited to the Job Description & to perform any other tasks/functions as required by the Company.

As a member of our team, you will be responsible for managing organizational strategy and operations through the design and statistical analysis of business initiatives and experiments. Your role will involve collaborating with business partners to understand and address their needs and issues effectively. Utilizing advanced knowledge of statistics and data mining techniques, such as predictive modeling and simulation, you will identify patterns and insights from business data. Additionally, you will be tasked with designing, developing, and evaluating statistical and predictive models to drive business solutions. In this position, you will act as the lead statistician for the unit, providing expertise, oversight, and guidance on statistical analysis efforts. Communication of findings and recommendations to management across various departments will be a crucial aspect of your role. Furthermore, you will support implementation efforts and lead and mentor the team working in the Data Competency Centre. To excel in this role, you should possess a Bachelor's degree in data science, computer science, electrical engineering, applied statistics, or physics with 8-10 years of relevant work experience in Data Science, Artificial Intelligence, or Machine Learning algorithm development. Alternatively, a Master's degree with 5+ years of relevant work experience or a PhD with 4+ years of relevant work experience in the aforementioned fields will also be considered. A working knowledge of budgets and financial statements is required. Key skills and competencies for this position include demonstrated experience in managing teams, coaching team members to drive results, proficiency in programming languages and statistical software tools (such as Python, SAS, R, JMP), relational databases (SQL server), and data analysis and visualization software (preferably PowerBI, SAS). You should also have experience with standard data science and machine learning packages, as well as machine learning model tradeoffs and computer vision models. Strong communication skills are essential to effectively collaborate with various business partners and communicate complex data relationships and statistical model results. Your essential responsibilities will involve statistical analysis and model development in collaboration with business partners, internal teams, and Enterprise Data Management. You will explore data using statistical techniques to answer business questions, build hypotheses, and identify research data attributes. Additionally, you will lead the development of experimental designs for business initiatives, apply advanced statistical techniques, build predictive models, and deploy computer vision models to meet business needs. Providing guidance and direction related to statistical analysis, as well as effectively communicating and delivering statistical and predictive model results to business partners, are critical aspects of this role. You will report to the Head of Automation Digital Transformation USA and will have direct reports. Some travel may be required for this position. This is a full-time role based in Plot No.A-1/1 SIPCOT Industrial Park, Sriperumbudur, Tamil Nadu, 602105, IN. If you believe you meet the qualifications and can excel in fulfilling the responsibilities outlined for this role, we encourage you to apply. All candidates receiving an offer of employment must successfully complete a background check and any other required tests. Job Identification: 1021960 Job Category: NPI-HSRT Integration Data Science Posting Date: 07/17/2025, 12:17 AM Job Schedule: Full time Work Schedule: Normal Shift New (PMT),

Job Description First Solar reserves the right to offer you a role most applicable to your experience and skillset. Basic Job Functions: This position manages organizational strategy and operations through design and statistical analysis of business initiatives and experiments. Works with business partners to understand what the business needs and issues are to address. Applies advanced knowledge of statistics and data mining (e.g., predictive modelling, simulation) or other mathematical techniques to recognize patterns and create insights from business data. Designs, develops, and evaluates statistical and predictive models that lead to business solutions. Serves as lead statistician for the unit, providing expertise, oversight, and guidance on statistical analysis efforts. Communicate findings and recommendations to management across different departments. Supports implementation efforts. Should lead and mentor the team working in the Data Competency Centre. Education/Experience: Bachelor’s degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 8-10 years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development Master’s degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 5+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development PhD degree in Data Science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 4+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development Working knowledge of budgets and financial statements Required Skills/Competencies: Demonstrated skill of managing teams; Ability to coach and mentor team members to drive results Demonstrated experience with programming languages and statistical software tools (Python, SAS, R, JMP or similar), relational databases (SQL server), data analysis and visualization software (preferably PowerBI, SAS). Demonstrated experience with standard data science and machine learning packages such as Numpy, Pandas, Matplotlib, seaborn, bokeh, plotly Demonstrated experience with the machine learning model stack (regression, classification, neural networks, time series) and packages (Scikit learn, Xgboost, Keras, Pytorch, Tensorflow, statsmodels) Demonstrated experience of the machine learning model tradeoffs such as hyper-parameter tuning, regularization, cross-validation, skewness in data, dimensionality reduction, and complexity vs interpretability. Demonstrated experience with utilizing advanced descriptive statistics and analysis techniques (such as forecasting, analysis of variance, t-tests, categorical data analysis, nonparametric data analysis, cluster analysis, factor analysis and multivariate statistical analysis) design business experiments and measure the impact of business actions. Demonstrated experience with computer vision models (e.g. image classification, object detection, and segmentation) Demonstrated experience working with various business partners to scope and design the statistical framework for business solutions and socialize and help integrate results. Strong communication skills to work with groups, and experience with communicating business implications of complex data relationships and results of statistical models to multiple business partners. Essential Responsibilities: Statistical Analysis & Model Development Works with business partners to identify and scope new opportunities for statistical analysis applications to evaluate business performance and to support business decisions. Works internally and with I/S and Enterprise Data Management to define, secure and prepare datasets for statistical modeling. Explores data using a variety of statistical (e.g., data mining, regression, cluster analysis) techniques to answer business questions or guide future model development. Build programs for running statistical tests on data and for understanding correlation of various attributes. Builds hypotheses, identifies research data attributes and determines the best approach to address business issues. Working with business partners leads development of experimental design for business initiatives. Applies advanced statistical techniques, including analysis of variance, t-tests, factor analysis, regression and multivariate analyses or simulation, to analyze the effects of business initiatives. Build predictive models (e.g. logistic regression, generalized linear models) as appropriate to support business partner objectives. Builds and deploys computer vision models (e.g., image classification, object detection, segmentation) to meet business needs. Prepares testing scenarios and tests model performance. Incorporates findings and provides insights as part of model development and enhancement. Provides guidance and direction related to statistical analysis to less experienced Data Science & Analytics staff as needed. Provides peer review related to analytics methods and results. Responsible for advanced analytics, including experimental design and analysis, for the most complex business experiments. Model Consultation, Implementation, & Communication Serves as statistical expert within the unit as well as in consultation to various areas of the business, to support design and analysis of business experiments. Leads analytics projects or components related to large, complex business initiatives. Prepare recommendations and findings for business partners. Works with research and analytics staff and other areas of the business on model application and implementation. Effectively communicates and delivers statistical and predictive model results to business partners, supporting socialization and adoption of analysis results into business activities and decisions. Assists with knowledge transfer and training to business areas regarding new analytics applications as part of implementation process. Works closely with business stakeholders to identify and answer critical questions. Assists in the development of standard analytical approaches and methodologies for the department. Provides knowledge transfer and training on new modeling and statistical analysis tools and methodologies to less experienced staff. Industry Research Research and maintain awareness of industry’s best practices and business strategies. Proactively brings in new and innovative ideas and approaches to develop business solutions. Research and leverage new statistical techniques and technologies to apply in their statistical research work. Reporting Relationships: Will report to Head- Automation Digital Transformation USA This role will have direct reports Travel: Physical Requirements: Will sit and stand for long periods of time during the day. Will walk, climb stairs and on equipment. May reach above shoulder heights and below the waist May lift up to 50 lbs. Required to use hands to finger, lift, handle, carry or feel objects. May stoop, kneel, bend, talk and hear. Specific vision abilities are required. All associates working on the production floor may be required to wear a respirator at any given time and thus, the ability to wear a respirator is a condition of employment and continued employment (require little or no facial hair). Office Physical Requirements: All positions in our office require interaction with people and technology while either standing or sitting. To best service our customers, internal and external, all associates must be able to communicate face-to-face and on the phone with or without reasonable accommodation. First Solar is committed to compliance with its obligations under all applicable state and federal laws prohibiting employment discrimination. In keeping with this commitment, it attempts to reasonably accommodate applicants and employees in accordance with the requirements of the disability discrimination laws. It also invites individuals with disabilities to participate in a good faith, interactive process to identify reasonable accommodations that can be made without imposing an undue hardship. Potential candidates will meet the education and experience requirements provided on the above job description and excel in completing the listed responsibilities for this role. All candidates receiving an offer of employment must successfully complete a background check and any other tests that may be required. Equal Opportunity Employer Statement: First Solar is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that diversity and inclusion is a driving force in the success of our company. I have read and understand the above ‘Roles and Responsibilities’ for this position. I believe I meet the ‘Minimum Qualifications’ to perform the required ‘Essential Functions & Responsibilities’ to the best of my abilities.

Key Areas Job Description Banking Documentation Limit Renewals and documentations Monthly, Quarterly and Annual Returns and data to banks Registration of Mortgage and documents Unhedged foreign Currency Report Hedging Documentation and Reports Bank Audits and Inspections Bank Stock and Book Debts Audit Bank Plant and Machinery Audit Bank Property Audit Bank Other Collateral Securities Audit Banking Transaction Bank Payment transactions like NEFT, RTGS, Credit card, Merchant payments, TT Payments in bank portals Statutory Payments such as IT, TDS, ESI, PF, Gratuity, Customs Duty, GST, etc Debtors Outstanding Reports (Accounts Receivable) Debtors Ageing Report, Debtors Collection, Overdue Follow up Creditors Outstanding Report (Accounts Payable) Debtors Ageing Report, Debtors Collection, Overdue Follow up SAP implementation SAP Implementation FICO AR and AP Module Regularization of MT940 Bank statement Reports and reconciliation Compliance Report Subsidies, Incentive and Benefit Claims Registration and Renewals Licenses and Certificates Export / Import Document Compliance Basic knowledge Financial and Accounting procedures Create organized records and files Complete administrative tasks, such as filling out paperwork and filing records Strong demonstrated use of Excel, Word, and PowerPoint Core Knowledge Banking Transactions, relationship and Liasioning Import and Export Transactions, procedures and Foreign Trade Examine financial and legal documents to verify accuracy and adherence to financial regulations and acceptable financial principles Financial and Commercial regulations Preparation and Presentation of departmental and organization financial documents Prepare regular financial reports and assist in the presentation of reports to managers and executives Accounts payable and Accounts receivable. Additional Knowledge if any SAP and ERP

First Solar reserves the right to offer you a role most applicable to your experience and skillset. Basic Job Functions: This position manages organizational strategy and operations through design and statistical analysis of business initiatives and experiments. Works with business partners to understand what the business needs and issues are to address. Applies advanced knowledge of statistics and data mining (e.g., predictive modelling, simulation) or other mathematical techniques to recognize patterns and create insights from business data. Designs, develops, and evaluates statistical and predictive models that lead to business solutions. Serves as lead statistician for the unit, providing expertise, oversight, and guidance on statistical analysis efforts. Communicate findings and recommendations to management across different departments. Supports implementation efforts. Should lead and mentor the team working in the Data Competency Centre. Education/Experience: Bachelor’s degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 8-10 years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development Master’s degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 5+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development PhD degree in Data Science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 4+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development Working knowledge of budgets and financial statements Required Skills/Competencies: Demonstrated skill of managing teams; Ability to coach and mentor team members to drive results Demonstrated experience with programming languages and statistical software tools (Python, SAS, R, JMP or similar), relational databases (SQL server), data analysis and visualization software (preferably PowerBI, SAS). Demonstrated experience with standard data science and machine learning packages such as Numpy, Pandas, Matplotlib, seaborn, bokeh, plotly Demonstrated experience with the machine learning model stack (regression, classification, neural networks, time series) and packages (Scikit learn, Xgboost, Keras, Pytorch, Tensorflow, statsmodels) Demonstrated experience of the machine learning model tradeoffs such as hyper-parameter tuning, regularization, cross-validation, skewness in data, dimensionality reduction, and complexity vs interpretability. Demonstrated experience with utilizing advanced descriptive statistics and analysis techniques (such as forecasting, analysis of variance, t-tests, categorical data analysis, nonparametric data analysis, cluster analysis, factor analysis and multivariate statistical analysis) design business experiments and measure the impact of business actions. Demonstrated experience with computer vision models (e.g. image classification, object detection, and segmentation) Demonstrated experience working with various business partners to scope and design the statistical framework for business solutions and socialize and help integrate results. Strong communication skills to work with groups, and experience with communicating business implications of complex data relationships and results of statistical models to multiple business partners. Essential Responsibilities: Statistical Analysis & Model Development Works with business partners to identify and scope new opportunities for statistical analysis applications to evaluate business performance and to support business decisions. Works internally and with I/S and Enterprise Data Management to define, secure and prepare datasets for statistical modeling. Explores data using a variety of statistical (e.g., data mining, regression, cluster analysis) techniques to answer business questions or guide future model development. Build programs for running statistical tests on data and for understanding correlation of various attributes. Builds hypotheses, identifies research data attributes and determines the best approach to address business issues. Working with business partners leads development of experimental design for business initiatives. Applies advanced statistical techniques, including analysis of variance, t-tests, factor analysis, regression and multivariate analyses or simulation, to analyze the effects of business initiatives. Build predictive models (e.g. logistic regression, generalized linear models) as appropriate to support business partner objectives. Builds and deploys computer vision models (e.g., image classification, object detection, segmentation) to meet business needs. Prepares testing scenarios and tests model performance. Incorporates findings and provides insights as part of model development and enhancement. Provides guidance and direction related to statistical analysis to less experienced Data Science & Analytics staff as needed. Provides peer review related to analytics methods and results. Responsible for advanced analytics, including experimental design and analysis, for the most complex business experiments. Model Consultation, Implementation, & Communication Serves as statistical expert within the unit as well as in consultation to various areas of the business, to support design and analysis of business experiments. Leads analytics projects or components related to large, complex business initiatives. Prepare recommendations and findings for business partners. Works with research and analytics staff and other areas of the business on model application and implementation. Effectively communicates and delivers statistical and predictive model results to business partners, supporting socialization and adoption of analysis results into business activities and decisions. Assists with knowledge transfer and training to business areas regarding new analytics applications as part of implementation process. Works closely with business stakeholders to identify and answer critical questions. Assists in the development of standard analytical approaches and methodologies for the department. Provides knowledge transfer and training on new modeling and statistical analysis tools and methodologies to less experienced staff. Industry Research Research and maintain awareness of industry’s best practices and business strategies. Proactively brings in new and innovative ideas and approaches to develop business solutions. Research and leverage new statistical techniques and technologies to apply in their statistical research work. Reporting Relationships: Will report to Head- Automation Digital Transformation USA This role will have direct reports Travel: Physical Requirements: Will sit and stand for long periods of time during the day. Will walk, climb stairs and on equipment. May reach above shoulder heights and below the waist May lift up to 50 lbs. Required to use hands to finger, lift, handle, carry or feel objects. May stoop, kneel, bend, talk and hear. Specific vision abilities are required. All associates working on the production floor may be required to wear a respirator at any given time and thus, the ability to wear a respirator is a condition of employment and continued employment (require little or no facial hair). Office Physical Requirements: All positions in our office require interaction with people and technology while either standing or sitting. To best service our customers, internal and external, all associates must be able to communicate face-to-face and on the phone with or without reasonable accommodation. First Solar is committed to compliance with its obligations under all applicable state and federal laws prohibiting employment discrimination. In keeping with this commitment, it attempts to reasonably accommodate applicants and employees in accordance with the requirements of the disability discrimination laws. It also invites individuals with disabilities to participate in a good faith, interactive process to identify reasonable accommodations that can be made without imposing an undue hardship. Potential candidates will meet the education and experience requirements provided on the above job description and excel in completing the listed responsibilities for this role. All candidates receiving an offer of employment must successfully complete a background check and any other tests that may be required. Equal Opportunity Employer Statement: First Solar is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that diversity and inclusion is a driving force in the success of our company. I have read and understand the above ‘Roles and Responsibilities’ for this position. I believe I meet the ‘Minimum Qualifications’ to perform the required ‘Essential Functions & Responsibilities’ to the best of my abilities. Job Identification 1021960 Job Category NPI-HSRT Integration Data Science Posting Date 07/17/2025, 12:17 AM Job Schedule Full time Locations Plot No.A-1/1 SIPCOT Industrial Park, Sriperumbudur, Tamil Nadu, 602105, IN Work Schedule Normal Shift New (PMT)

POSITION: Company Secretary. LOCATION: Mumbai, India. HOURS: General Shift. EDUCATION: CS, LLB. BACKGROUND: 6-7 years of experience of working in a similar industry as Aeries, Preferably IT/ITES/BPO/KPO. SHIFTS (if any): 11:00 am to 9:00 pm (candidate should be flexible to work as per the business requirement). Roles & Responsibilities Primary responsibility to ensure that all group entities are compliant, and all filings are up to date. Research and implementation of latest regulation changes. Conducting Board Meetings and General Meetings as required under Companies Act involving issuance of notices, drafting Agenda, recording minutes, maintaining statutory registers, and doing statutory filings as mandated by Companies Act. Managing applicable compliances, with special emphasis on NBFC compliances, through the automated compliance management system of the Company. Representing the Company before Ministry of Corporate Affairs, Company Law Board, RBI, and other statutory authorities. Conducting Secretarial due diligence for the purposes of the groups M&A activities. Managing procedural formalities pertaining to Merger and Acquisition of companies. Attending to application for Registration of Trademarks, Copyrights and Patents. Completing Annual ROC filings, director disclosures, director KYC, renewals including MSME renewals and MSME filings, RBI and FEMA compliances including FLA, APR, CPIS filing and ODI, DI, FC-TRS and FC_GPR on transaction basis for group companies. Preparing Statutory registers, Board Reports, XBRL reporting, CSR compliances. Preparing transactional documents including Special resolutions for inter corporate deposits, ESOPs, share issue/transfer etc. Auditor appointment in every 5 year or on any change in auditor, Charge form on borrowings, Director appointment/resignation and their regularization in AGM, Document preparation for Bank account opening/modifications in signatories (very frequent), Incorporation of new entities, name changes, ESOPs, share transfer, right issue, private placement of shares, registered office change and all other incidental matters as and when needed. Preparing agreements for consultants, Preparing ICD agreements, Loan agreements, Share purchase agreements and all other inter company documents for compliance purposes. Arranging DSCs, Payment of stamp duties on bank portal, Bank loan Mortgage registration, liasioning with banks, MCA and RBI, Obtaining PAN and TAN, Agreement execution on behalf of signatories. Interaction with Group's Corporate legal firm in ensuring compliances. Ensuring efficient administration of entities within the Group or as specified, including compliance with statutory and regulatory requirements, and ensuring that decisions of the Board of Directors are implemented. Advising Board of Directors on Corporate law provisions and interpretations. Managing various regulatory functions like incorporation of an entity; sufficing preparation and audit of business reports; filing annual returns; dealing with amended regulations on a steady basis, etc. Obtaining government approvals; complying with regulatory procedures of Acts such as FEMA; State Insurance Act; Depositories Act 1996 etc. ; monitoring and complying with various legal laws like Labor laws; Competition Laws; Environmental laws, etc. Qualification, Experience & Requirement Approved member of Institute of Company Secretaries of India (ICSI). Should hold 6-7 years of experience within the same field. Strong communication and drafting skills. Team player & should be able to drive tasks independently. The Job responsibilities of the candidate shall include but not limited to the Job Description & to perform any other tasks/functions as required by the Company. (ref:iimjobs.com)

Position: HR Executive – Core HR Operations (3–4 Years’ Experience) As an HR Executive, you will play a key role in managing and improving core HR operations across the employee lifecycle. You will own critical functions such as HRMS administration, attendance, benefits, compliance, and reporting, while supporting performance management, engagement, and training processes. This role is ideal for someone with strong HR fundamentals who is ready to operate independently and contribute to process excellence. Key Responsibilities Employee Lifecycle Management Manage end-to-end employee lifecycle processes: onboarding, confirmation, transfers, and exits. Conduct structured induction, probation reviews, and offboarding including documentation and feedback capture. Maintain lifecycle trackers and ensure alignment with HRMS records and team workflows. HRMS & Employee Data Management Ensure timely and accurate updates in HRMS across all employee events. Maintain employee records, workflows, and approval hierarchies within the system. Liaise with vendors or IT for issue resolution and implementation of new features or enhancements. Timesheet, Attendance & Leave Management Monitor and validate employee attendance, work hours, and timesheet submissions via HRMS or time-tracking tools. Reconcile leave balances, regularization requests, and generate monthly reports for payroll processing. Maintain audit-ready records of attendance, absenteeism, and leave history. Communicate policies and deadlines related to timesheet and leave, and address employee queries. Generate reports to identify attendance patterns and anomalies for internal analysis or business discussions. Support analysis of attendance vs productivity in coordination with line managers or business heads. HR Analytics, Dashboards & Reporting Create and manage dashboards covering: Headcount movement Attrition & tenure analysis Attendance, leave, and absenteeism trends Timesheet compliance Productivity indicators (attendance vs output trends, engagement vs performance, etc.) Analyze and report on workforce trends (e.g., frequent absenteeism, low billability, delayed timesheet submissions). Use data insights to support actions in workforce planning, team resourcing, or policy interventions. Present HR data visually and meaningfully to support management reviews and strategic inputs. Performance Management Drive appraisal cycle execution including communication, system setup, tracking, and closure. Consolidate performance ratings, identify trends, and prepare related reports. Support training sessions or guides for managers and employees on goal setting and feedback. Employee Engagement & Recognition Design and execute engagement initiatives, team events, and wellness activities. Administer employee surveys, collate findings, and contribute to post-survey action planning. Run recognition programs such as employee awards, service milestones, and peer appreciations. Training & Capability Development Coordinate internal and external training programs including logistics, feedback, and participation tracking. Maintain training records and support documentation for compliance or audit requirements. Assist managers and HR leadership in identifying training needs based on business priorities. Employee Benefits Administration Administer group health insurance: new joins, exits, mid-term additions, claims, and renewals. Conduct awareness sessions on insurance benefits and support employees in claim queries. Track and support gratuity eligibility and processing in collaboration with Finance or external trustees. Policy, Compliance & Statutory Adherence Provide clarifications on HR policies and ensure consistent application across the organization. Maintain updated documentation and support audits under labor laws, gratuity, and Karnataka Shops & Establishment Act. Ensure compliance with statutory norms related to attendance, leave, POSH, gratuity, and workplace regulations. Participate in preparing audit reports, documentation for inspections, and internal compliance checks. Process Improvement & Documentation Review existing processes and recommend enhancements or automation for improved efficiency. Maintain SOPs, checklists, and policy documentation for all recurring HR activities. Support HR digitization projects and internal audits of processes and systems. Cross-Functional Collaboration Coordinate with Finance on payroll inputs (attendance, bonuses, benefits, and final settlements). Liaise with Admin and IT for onboarding logistics, infrastructure, and travel/workplace coordination. Partner with business units to ensure smooth execution of HR processes and timely issue resolution. Candidate Profile Experience: 3–4 years of hands-on experience in core HR operations, data management, compliance, and employee engagement. Education Bachelor’s degree in Human Resources, Business Administration, or related field (mandatory) Postgraduate program / Master’s in HR (MBA/PGDM) preferred Key Skills & Competencies Strong working knowledge of HRMS platforms Experience in attendance and timesheet administration, with good understanding of payroll inputs. Familiarity with applicable labor laws, employee benefits administration, and statutory compliance requirements. Proficiency in Excel (pivot tables, formulas, charts) and PowerPoint for reporting and presentations. Ability to create, interpret, and present HR dashboards and analytics. Excellent written and verbal communication skills. Ownership mindset, attention to detail, and strong coordination abilities.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Software Engineer II We are the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. The Mastercard Launch program is aimed at early career talent, to help you develop skills and gain cross-functional work experience. Over a period of 18 months, Launch participants will be assigned to a business unit, learn and develop skills, and gain valuable on the job experience. Mastercard has over 2 billion payment cards issued by 25,000+ banks across 190+ countries and territories, amassing over 10 petabytes of data. Millions of transactions are flowing to Mastercard in real-time providing an ideal environment to apply and leverage AI at scale. The AI team is responsible for building and deploying innovative AI solutions for all divisions within Mastercard securing a competitive advantage. Our objectives include achieving operational efficiency, improving customer experience, and ensuring robust value propositions of our core products (Credit, Debit, Prepaid) and services (recommendation engine, anti-money laundering, fraud risk management, cybersecurity) Role: Gather relevant information to define the business problem Creative thinker capable of linking AI methodologies to identified business challenges Develop AI/ML applications leveraging the latest industry and academic advancements Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda All About You: :• Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL • •Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, •Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, •Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil •Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. •Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost •Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Concentration in Computer Science Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Job Description : Should have 4+ years hands-on experience in algorithms and implementation of analytics solutions in predictive analytics, text analytics and image analytics Should have handson experience in leading a team of data scientists, works closely with client’s technical team to plan, develop and execute on client requirements providing technical expertise and project leadership. Leads efforts to foster innovative ideas for developing high impact solutions. Evaluates and leads broad range of forward looking analytics initiatives, track emerging data science trends, and knowledge sharing Engaging key stakeholders to source, mine and validate data and findings and to confirm business logic and assumptions in order to draw conclusions. Helps in design and develop advanced analytic solutions across functional areas as per requirement/opportunities. Technical Role and Responsibilities Demonstrated strong capability in statistical/Mathematical modelling or Machine Learning or Artificial Intelligence Demonstrated skills in programming for implementation and deployment of algorithms preferably in Statistical/ML based programming languages in Python Sound Experience with traditional as well as modern statistical techniques, including Regression, Support Vector Machines, Regularization, Boosting, Random Forests, and other Ensemble Methods; Visualization tool experience - preferably with Tableau or Power BI Sound knowledge of ETL practices preferably spark in Data Bricks cloud big data technologies like AWS, Google, Microsoft, or Cloudera. Communicate complex quantitative analysis in a lucid, precise, clear and actionable insight. Developing new practices and methodologies using statistical methods, machine learning and predictive models under mentorship. Carrying out statistical and mathematical modelling, solving complex business problems and delivering innovative solutions using state of the art tools and cutting-edge technologies for big data & beyond. Preferred to have Bachelors/Masters in Statistics/Machine Learning/Data Science/Analytics Should be a Data Science Professional with a knack for solving problems using cutting-edge ML/DL techniques and implementing solutions leveraging cloud-based infrastructure. Should be strong in GCP, TensorFlow, Numpy, Pandas, Python, Auto ML, Big Query, Machine learning, Artificial intelligence, Deep Learning Exposure to below skills: Preferred Tech Skills : Python, Computer Vision,Machine Learning,RNN,Data Visualization,Natural Language Processing,Voice Modulation,Speech to text,Spicy,Lstm,Object Detection,Sklearn,Numpy, NLTk,Matplotlib,Cuinks, seaborn,Imageprocessing, NeuralNetwork,Yolo, DarkFlow,DarkNet,Pytorch, CNN,Tensorflow,Keras,Unet, ImageSegmentation,ModeNet OCR,OpenCV,Pandas,Scrapy, BeautifulSoup,LabelImg ,GIT. Machine Learning, Deep Learning, Computer Vision, Natural Language Processing,Statistics Programming Languages-Python Libraries & Software Packages- Tensorflow, Keras, OpenCV, Pillow, Scikit-Learn, Flask, Numpy, Pandas, Matplotlib,Docker Cloud Services- Compute Engine, GCP AI Platform, Cloud Storage, GCP AI & MLAPIs Job Types: Full-time, Permanent, Fresher Pay: ₹30,000.00 - ₹90,000.00 per month Education: Bachelor's (Preferred) Experience: AI/Machine learining: 4 years (Preferred) Work Location: In person

We are currently hiring for the position of HR Executive – Core HR Operations with 3 to 4 years of experience . We would like to invite you for a Face-to-Face (F2F) Walk-In Interview as per the details below: Interview Details Detail Position HR Executive – Core HR Operations Experience Required 3 to 4 Years Date 17th July 2025 and 18th July 2025 Time 9:30 AM to 1:00 PM Interview Mode Walk-In (Face-to-Face) Venue 4th Floor, Srinivasa Square, Site No. 34, 35, 39 & 40, Opp. Living Walls Apartment, Hormavu Main Road, Above KFC, Banaswadi, Bengaluru – 560043 Note Please carry the following documents: Updated Resume Passport-size Photo Aadhar Card About Marutee: Marutee is a Design & Engineering Services company delivering end-to-end Product Development Solutions to global clients across various sectors. Our Service Domains: Automotive | Robotics | Aerospace | Heavy Industry | Appliance | Locomotive Looking forward to seeing you at the interview! Position: HR Executive – Core HR Operations (3–4 Years’ Experience) As an HR Executive, you will play a key role in managing and improving core HR operations across the employee lifecycle. You will own critical functions such as HRMS administration, attendance, benefits, compliance, and reporting, while supporting performance management, engagement, and training processes. This role is ideal for someone with strong HR fundamentals who is ready to operate independently and contribute to process excellence. --- Key Responsibilities 1. Employee Lifecycle Management · Manage end-to-end employee lifecycle processes: onboarding, confirmation, transfers, and exits. · Conduct structured induction, probation reviews, and offboarding including documentation and feedback capture. · Maintain lifecycle trackers and ensure alignment with HRMS records and team workflows. 2. HRMS & Employee Data Management · Ensure timely and accurate updates in HRMS across all employee events. · Maintain employee records, workflows, and approval hierarchies within the system. · Liaise with vendors or IT for issue resolution and implementation of new features or enhancements. 3. Timesheet, Attendance & Leave Management · Monitor and validate employee attendance, work hours, and timesheet submissions via HRMS or time-tracking tools. · Reconcile leave balances, regularization requests, and generate monthly reports for payroll processing. · Maintain audit-ready records of attendance, absenteeism, and leave history. · Communicate policies and deadlines related to timesheet and leave, and address employee queries. · Generate reports to identify attendance patterns and anomalies for internal analysis or business discussions. · Support analysis of attendance vs productivity in coordination with line managers or business heads. 4. HR Analytics, Dashboards & Reporting · Create and manage dashboards covering: o Headcount movement o Attrition & tenure analysis o Attendance, leave, and absenteeism trends o Timesheet compliance o Productivity indicators (attendance vs output trends, engagement vs performance, etc.) · Analyze and report on workforce trends (e.g., frequent absenteeism, low billability, delayed timesheet submissions). · Use data insights to support actions in workforce planning, team resourcing, or policy interventions. · Present HR data visually and meaningfully to support management reviews and strategic inputs. 5. Performance Management · Drive appraisal cycle execution including communication, system setup, tracking, and closure. · Consolidate performance ratings, identify trends, and prepare related reports. · Support training sessions or guides for managers and employees on goal setting and feedback. 6. Employee Engagement & Recognition · Design and execute engagement initiatives, team events, and wellness activities. · Administer employee surveys, collate findings, and contribute to post-survey action planning. · Run recognition programs such as employee awards, service milestones, and peer appreciations. 7. Training & Capability Development · Coordinate internal and external training programs including logistics, feedback, and participation tracking. · Maintain training records and support documentation for compliance or audit requirements. · Assist managers and HR leadership in identifying training needs based on business priorities. 8. Employee Benefits Administration · Administer group health insurance: new joins, exits, mid-term additions, claims, and renewals. · Conduct awareness sessions on insurance benefits and support employees in claim queries. · Track and support gratuity eligibility and processing in collaboration with Finance or external trustees. 9. Policy, Compliance & Statutory Adherence · Provide clarifications on HR policies and ensure consistent application across the organization. · Maintain updated documentation and support audits under labor laws, gratuity, and Karnataka Shops & Establishment Act. · Ensure compliance with statutory norms related to attendance, leave, POSH, gratuity, and workplace regulations. · Participate in preparing audit reports, documentation for inspections, and internal compliance checks. 10. Process Improvement & Documentation · Review existing processes and recommend enhancements or automation for improved efficiency. · Maintain SOPs, checklists, and policy documentation for all recurring HR activities. · Support HR digitization projects and internal audits of processes and systems. 11. Cross-Functional Collaboration · Coordinate with Finance on payroll inputs (attendance, bonuses, benefits, and final settlements). · Liaise with Admin and IT for onboarding logistics, infrastructure, and travel/workplace coordination. · Partner with business units to ensure smooth execution of HR processes and timely issue resolution. --- Candidate Profile Experience: 3–4 years of hands-on experience in core HR operations, data management, compliance, and employee engagement. Education: · Bachelor’s degree in Human Resources, Business Administration, or related field (mandatory) · Postgraduate program / Master’s in HR (MBA/PGDM) preferred --- Key Skills & Competencies · Strong working knowledge of HRMS platforms · Experience in attendance and timesheet administration, with good understanding of payroll inputs. · Familiarity with applicable labor laws, employee benefits administration, and statutory compliance requirements. · Proficiency in Excel (pivot tables, formulas, charts) and PowerPoint for reporting and presentations. · Ability to create, interpret, and present HR dashboards and analytics. · Excellent written and verbal communication skills. · Ownership mindset, attention to detail, and strong coordination abilities. Job Type: Full-time Pay: ₹20,000.00 - ₹40,000.00 per month Work Location: In person Application Deadline: 19/07/2025 Expected Start Date: 21/07/2025