184 Regularization Jobs - Page 3

Planning, Monitoring, Control and Closure:- Monitor, control & take actions for initiation of Project. Prioritizing the work to align with strategic plan on project timeline. Monitor & control the deliverable as per baseline schedule and cost. Monitor & control detailed activity-based plan with resources on iterative basis. To take actions for closure of all contracts with onsite inventory management, contractor payment, Customer validation, update lesson learned, risk register update. Risk Management for Project Execution & Sustenance:- Identify the Risks & prepare their mitigation plans are in place. Monitor identified risk during execution. Monitor to forecast risk during execution and take action for update accordingly. Execution, Communication and Conflict Management:- To prepare contract proposal with details scope for Contract Management. Preparation of Bid and recommendation for technical approval. Monitoring & control execution job as per defined battery limit and take actions for regularization and audit compliance.

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.

Job Description: Data Science Trainer (Offline Training)Job Overview We are seeking an experienced and passionate Data Science Trainer to join our team and deliver comprehensive training programs on Data Science, Machine Learning, Deep Learning, and related technologies. The ideal candidate will have a strong background in data science concepts, practical industry experience, and a proven ability to teach complex topics effectively. This role involves designing and conducting interactive sessions based on our structured syllabus, guiding learners through hands-on projects, and fostering a deep understanding of data-driven problem-solving. The training program spans approximately 80 hours, covering foundational to advanced topics, and emphasizes real-world applications in sectors like mobile, banking, and healthcare. Key Responsibilities Deliver Engaging Training Sessions : Conduct classroom or online sessions on core Data Science topics, including introductions to Data Science vs. Data Analytics vs. AI, project lifecycles, statistical fundamentals, Python programming, data visualization, machine learning algorithms, unsupervised learning, deep learning, natural language processing (NLP), and generative AI. Hands-On Demonstrations and Projects : Lead practical demos using tools like Jupyter, Spyder, Google Colab, and generative AI for exploratory data analysis (EDA), model building, and deployment. Guide participants through case studies such as breast cancer classification, Bangalore housing prices prediction, sales data analysis, and time series forecasting with ARIMA. Curriculum Alignment and Customization : Follow the provided syllabus to cover subtopics like probability distributions, hypothesis testing, regression models (linear, logistic), classifiers (SVM, Decision Trees), ensemble techniques (Random Forests, Gradient Boosting, XGBoost), dimensionality reduction (PCA), clustering (K-Means, DBSCAN), recommendation systems, neural networks (ANN, RNN, LSTM), text preprocessing, word embeddings (Word2Vec), and large language models (LLMs) with transformers. Mentor and Assess Learners : Provide guidance on roles in data science, important learnings, and career paths. Handle Q&A sessions, evaluate participant progress through assignments, cross-validation exercises, and final projects involving model deployment. Incorporate Best Practices : Teach data transformation techniques (scaling, encoding), model validation (K-Fold CV), handling overfitting/underfitting, regularization (Lasso, Ridge), and ethical considerations in AI/ML. Stay Updated and Innovate : Integrate emerging trends like Hugging Face libraries for LLMs and pre-trained models. Collaborate with the team to update the curriculum based on industry advancements. Administrative Duties : Prepare training materials, datasets, and code examples. Track participant engagement and provide feedback for program improvement. Required Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. A PhD is a plus. Certification in Data Science, Machine Learning, or related areas (e.g., from Coursera, edX, or Google) is desirable. Essential Skills and Experience Technical Expertise : Proficiency in Python programming, including data types, control structures, loops, functions, NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, Keras, and libraries for NLP (e.g., NLTK, spaCy) and generative AI (e.g., Hugging Face Transformers). Strong knowledge of statistics: central tendency, distributions (normal, skewness, kurtosis), charts (histograms, box plots, scatter plots), probability, hypothesis testing (Z-test, t-test), and confidence intervals. Expertise in Machine Learning: Supervised (regression, classification with metrics like RMSE, R², AUC, confusion matrix), unsupervised (PCA, clustering), ensemble methods (Bagging, Boosting, XGBoost, LightGBM), time series analysis (ARIMA), and recommendation systems (collaborative/content-based filtering). Deep Learning proficiency: Neural networks (perceptrons, backpropagation, activation functions, optimizers), RNNs, LSTMs/GRUs, and language modeling (N-grams, Word2Vec). NLP skills: Text preprocessing (tokenization, stemming, lemmatization), representations (BoW, TF-IDF), sentiment analysis, NER, and applications of pre-trained models. Familiarity with data handling: EDA, cleaning, transformation, partitioning, visualization, and deployment techniques. Teaching and Communication Skills : 3+ years of experience as a trainer, instructor, or mentor in Data Science/ML courses, preferably in academic or corporate settings. Ability to explain complex concepts simply, using real-world use cases (e.g., business problems in mobile/banking). Experience with interactive tools like Google Colab for in-class exercises and AI-assisted learning. Professional Experience : 5+ years in Data Science or related roles, with hands-on project experience in ML model development, deployment, and optimization. Proven track record of working on diverse datasets and case studies, including overfitting mitigation, feature engineering, and hyperparameter tuning (e.g., Grid Search CV). Soft Skills : Excellent presentation and interpersonal skills to engage diverse audiences. Problem-solving mindset with a focus on practical, industry-relevant training. Ability to adapt to learner needs, handle Q&A effectively, and promote collaborative learning. Preferred Qualifications Industry experience in deploying ML models or working with big data tools. Publications, contributions to open-source projects, or speaking engagements in Data Science conferences. Familiarity with ethical AI practices and bias mitigation in models. *** Food and Accommodation will be provided. **** This is offline opportunity, people who are looking for online opportunity please don't apply.

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 Bangalore - MTP C4, 3rd Flr Language Requirements Time Type: 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 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 Bangalore - MTP C4, 3rd Flr Language Requirements: Time Type: 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 R1623774

 Assisting department head for Performance management and improvement systems.  Employment and compliance to regulatory concerns .  Employee orientation, development, and training in association with department head.  Assisting department head for Policy development and documentation.  Employee relations; company-wide committee facilitation.  Generating, updating and compiling timely MIS reports.  Promoting communication and involvement among employees on organizational issues. Planning human resource requirements in consultation with heads of different functional & operational areas.  Developed a network of specific recruiting sources to fill vacancies on time.  Conducting selection interviews for departmental promotion & regularization of employees of all categories  Campus Recruitment  Conducting massive recruitment for new projects in record time through Head Hunting Process, Sourcing through Placement Consultants & Walk-in Interviews.  Forecasting Manpower requirement based on company’s vision for sites. Job Types: Full-time, Permanent Pay: ₹40,000.00 - ₹60,000.00 per month Benefits: Health insurance Education: Bachelor's (Required) Experience: hr: 3 years (Required) Infrastructure Company: 2 years (Required) Work Location: In person

Ø Coordinate incoming and outgoing stock, deliveries and logistics Ø Monitor stock levels and carry out periodic stock takes Ø Knowledge in doing planograms to change locations depending on business requirement Ø Supervise up to 20 staff members, including preparing weekly rosters and leading staff evaluations Ø Interview prospective employees and train new staff members Ø Record all stock movement and deliveries in database and prepare regular reports Ø Inventory Reconciliations and MIS Reports Ø TO / TI reconciliations Ø Reduction in Damages & Expiries Ø Overall control of Distribution Centers’ Inventories Ø Ensuring stock checks (weekly & monthly) Ø Perpetual Inventory – All Locations Ø Preparation of daily, weekly and monthly management reports Ø Preparation of presentations to provide information to different levels of management teams and external people Ø Fraud assessments & reduction across the business functions Ø Store Audits Ø Compliance Audit Ø Shrinkage, Dump, Damages & Expiries control / reporting Ø Reduction in pilferage / shrink levels Ø Location wise asset ownership – recording, reconciliation, Periodic verification Ø Trained and mentored new floor staff in tasks including receipting, restocking, documentation Competencies: Professional Knowledge: 1 Strong Knowledge on Inventory management & Department Handling in FMCG 2 Experience in managing a Warehouse/Store Skills: 1 People Management (ability to manage large teams) 2 Strong Communication Skills 3 Analytical and Data Interpretation Skills 4 Planning & Prioritization Skills Personal Attributes 1 Customer Focus 2 Result & Achievement Orientation 3 Enthusiasm& Initiative 4 Self confidence 5 Bias for Action & Speed Education: · Essential: Graduate\Post Graduate · Desirable: B Com\MBA Functional Experience: · Essential: Retail Management · Desirable: Experience in process driven organizations System Knowledge: · Proficiency in MS-Office · Knowledge in handling any ERP Modules Years of Experience: Min 04-05 years PRABHA S, Sat 14:50 plz send in mail for all roles PRABHA S, Sat 15:09 HR Execuitve Offer release by today only You, Sat 15:12 will try Prabha waiting for her UAN card and approval from HO PRABHA S, Sat 15:12 She is fresher You, Sat 15:13 fresher has to create by their own and activate now PRABHA S, Sat 15:14 okk You, Tue 14:43 Video meetingGoogle MeetJoin video meeting You, Yesterday 14:37 Project Executive Role and Responsibility 1. Assist to Project Manager for Monitoring of DC and 5K project works. 2. Raising calls for defect rectification and spare procurement if any. 3. Part of purchasing of Project material from vendor & monitoring receive and dispatch. 4. Over- all-in charge of facility management 5. Placing order for Housekeeping and stationary material for DC, B2B, BBD and 5Ks. 6. Handling of Petty cash management and submitting same to accounts department. 7. Monitoring of Pest control services and reports. 8. Raising MYMCS call for procurement as well as breakdown services. 9. Handling of Licenses, NOC, Lease agreement documents. 10. Attendance regularization and welfare of G2 employees 11. Submission of Electric Bills and rental bills to account departments 12. Submission of NON-PO work orders to accounts department. 13. MCIP pos preparation as per operation requirement 14. Monitoring of PO and its status. 15. Raising and monitoring Asset transfer and write off activities. 16. Report of Second sale details of goods as well as scraps to accounts team

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 Gurgaon -Bld 14 IT SEZ Unit 1, 5, 6, 17 Fl 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 Responsibilities Streamline the process of vendor empanelment and evaluation. Regularization of POs towards regular material/job indents received within the timeline and non-regular materials as and when the requirement arises. Regular communication with the internal stakeholders regarding the procurement process. Monitoring of day-to-day requirements of material/job and ensuring timely delivery. 100% adherence to the procurement process and the required approvals Process orientation to ensure each monthly audit or Purchase and vendor management passes without observations. Cross-checking with the internal customers when abnormal material/job quantity is observed in the PRs. Forecasting / Planning of buffer stock. Timely completion of material/job extension requests. Timely completion of material/job creation request. Getting a minimum of 3 comparative quotes for getting best rates. Reduction in average TAT (turnaround time) for closure of indents in SAP. Regular inventory checks with central stores and sometimes involved in deliveries. Ensuring timely submission of invoices/bills from the vendors to finance. Identify vulnerabilities and redundancies in the supply chain. Interaction with the suppliers and agreement on expectations for C metrics. Good Understanding of PI/PO/Invoice processes. Educational qualifications and minimum professional experience needed MBA from a top-tier college with a minimum of 7 years of experience in vendor management, purchasing, and financial management.

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 Gurgaon -Bld 14 IT SEZ Unit 1, 5, 6, 17 Fl 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 R1589161

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 As Staff Data Scientist for the business area you will work closely with the Business Team, Product Managers, Data Governance team, Analysts, Scientists and Data Engineers in order to deliver Company, Business, Product OKRs (Objectives and Key Results). You will also look into data initiatives that drive efficiency in the e2e (end to end) process, from data ingestion to insight generation including data science / machine learning models for decisioning. This role is an excellent opportunity for anyone who is interested in helping /building/embedding data initiatives into several products in a rapidly scaling environment. You will be able to influence our roadmap, learn about best practices and be able to quickly see the impact of your work. As a Staff Data Scientist you'll be: Design and implement end-to-end GenAI and Agentic AI solutions, leveraging AWS Bedrock and Databricks. This includes building Retrieval Augmented Generation (RAG) pipelines and multi-agentic systems to solve Build and optimize generative AI models, with a focus on fine-tuning and prompt engineering, using frameworks like LangChain and LangGraph. Implement regularization and architectural design patterns to ensure model reliability and prevent overfitting Collaborate with ML engineers to deploy models, establish CI/CD pipelines for GenAI, and implement robust model tracking and observability Implement systems to detect and address model drift, hallucinations, and safety guardrail failures, ensuring a high level of operational integrity Develop and plan our roadmap for our domain analytics and data engineering & science team Run scrum ceremonies with our Product/Business team Triage requests, create the work breakdown structure and assign it to respective Engineers/Scientists Work with Engineers, Scientists and governance team to identify challenges they face and work with them to identify solutions to these problems Ensure stakeholders are updated and informed about changes in our domain specific data needs Build and track metrics for the performance of our Engineering & Science team. Feedback to Product and Business Teams Ability to deal with ambiguity and propose innovative solutions without getting blocked WHAT ARE WE LOOKING FOR You have 10+ years of experience in Software development or Machine Learning. With 4+ years of product management experience and at least 2 years as a Product Owner embedding data initiatives into products especially Data Science and Machine Learning Hands-on experience with LangGraph or similar frameworks for building reusable and scalable multi-agentic workflows Deep understanding of prompt engineering, RAG pipeline design (including chunking, embedding strategies, and vector store optimization), and fine-tuning techniques for LLMs Hands-on experience with both quantitative and qualitative evaluation metrics for GenAI, including benchmarks for RAG pipelines and methods for assessing the reliability and performance of agentic systems You can prioritise ML Data Science and Machine Learning product roadmaps for the respective businesses based on OKRs and priorities You have a deep understanding of managing technical products with a background in data You have a high level understanding with big-data technologies such as Spark, SparkML, Hadoop etc. Strong knowledge of Cloud (AWS or other) You've delivered on fast-growing product-focused company before as a Data Manager or Data Lead or Data Program manager (products where the customer is retail or small business - as opposed to internal-facing tools) You're organised, pragmatic and capable of engaging, guiding and leading cross functional teams or managing large scale enterprise products. You have technical knowledge and experience and have strong empathy for developer audience You're a self-starter who can work comfortably in a fast-moving company where priorities can change and processes may need to be created from scratch with minimal guidance. You have significant experience working with varied stakeholders You have good technical knowledge in SQL, strong in Python programming You have a good understanding on how the performance optimization works in the end to end data pipeline including ML/DS inferencing You have excellent leadership skills - you have managed a team of data scientists before and coached them to become better versions of themselves OUR TECH STACK (You don't have to excel in all, but willing to learn them): Databricks on AWS Python Snowflake Tecton - feature store Fiddler - model observability platform 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 As Staff Data Scientist for the business area you will work closely with the Business Team, Product Managers, Data Governance team, Analysts, Scientists and Data Engineers in order to deliver Company, Business, Product OKRs (Objectives and Key Results). You will also look into data initiatives that drive efficiency in the e2e (end to end) process, from data ingestion to insight generation including data science / machine learning models for decisioning. This role is an excellent opportunity for anyone who is interested in helping /building/embedding data initiatives into several products in a rapidly scaling environment. You will be able to influence our roadmap, learn about best practices and be able to quickly see the impact of your work. As a Staff Data Scientist you'll be: Design and implement end-to-end GenAI and Agentic AI solutions, leveraging AWS Bedrock and Databricks. This includes building Retrieval Augmented Generation (RAG) pipelines and multi-agentic systems to solve Build and optimize generative AI models, with a focus on fine-tuning and prompt engineering, using frameworks like LangChain and LangGraph. Implement regularization and architectural design patterns to ensure model reliability and prevent overfitting Collaborate with ML engineers to deploy models, establish CI/CD pipelines for GenAI, and implement robust model tracking and observability Implement systems to detect and address model drift, hallucinations, and safety guardrail failures, ensuring a high level of operational integrity Develop and plan our roadmap for our domain analytics and data engineering & science team Run scrum ceremonies with our Product/Business team Triage requests, create the work breakdown structure and assign it to respective Engineers/Scientists Work with Engineers, Scientists and governance team to identify challenges they face and work with them to identify solutions to these problems Ensure stakeholders are updated and informed about changes in our domain specific data needs Build and track metrics for the performance of our Engineering & Science team. Feedback to Product and Business Teams Ability to deal with ambiguity and propose innovative solutions without getting blocked WHAT ARE WE LOOKING FOR You have 10+ years of experience in Software development or Machine Learning. With 4+ years of product management experience and at least 2 years as a Product Owner embedding data initiatives into products especially Data Science and Machine Learning Hands-on experience with LangGraph or similar frameworks for building reusable and scalable multi-agentic workflows Deep understanding of prompt engineering, RAG pipeline design (including chunking, embedding strategies, and vector store optimization), and fine-tuning techniques for LLMs Hands-on experience with both quantitative and qualitative evaluation metrics for GenAI, including benchmarks for RAG pipelines and methods for assessing the reliability and performance of agentic systems You can prioritise ML Data Science and Machine Learning product roadmaps for the respective businesses based on OKRs and priorities You have a deep understanding of managing technical products with a background in data You have a high level understanding with big-data technologies such as Spark, SparkML, Hadoop etc. Strong knowledge of Cloud (AWS or other) You've delivered on fast-growing product-focused company before as a Data Manager or Data Lead or Data Program manager (products where the customer is retail or small business - as opposed to internal-facing tools) You're organised, pragmatic and capable of engaging, guiding and leading cross functional teams or managing large scale enterprise products. You have technical knowledge and experience and have strong empathy for developer audience You're a self-starter who can work comfortably in a fast-moving company where priorities can change and processes may need to be created from scratch with minimal guidance. You have significant experience working with varied stakeholders You have good technical knowledge in SQL, strong in Python programming You have a good understanding on how the performance optimization works in the end to end data pipeline including ML/DS inferencing You have excellent leadership skills - you have managed a team of data scientists before and coached them to become better versions of themselves OUR TECH STACK (You don't have to excel in all, but willing to learn them): Databricks on AWS Python Snowflake Tecton - feature store Fiddler - model observability platform 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 .

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 with underwriting skill 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 Bangalore - MTP C4, 3rd Flr Language Requirements: Time Type: Full time2025-08-20 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 R1627602

Hi, looking for an HR Generalist (HR operations) for gurgaon sector 67. Only females can apply, 6 days working. Maintain employee records and HR databases (physical and digital) Manage attendance, leave tracking, and monthly HR dashboards Handle onboarding and offboarding processes, including documentation and induction Assist with payroll inputs: leave updates, attendance regularization, reimbursements, etc. Coordinate with finance for salary processing and full & final settlements Ensure timely generation of letters: offer, increment, relieving, experience Maintain compliance checklists (PF, ESI, Shops & Establishment, etc.) Support HR audits, vendor coordination, and recordkeeping Address employee queries related to HR policies and systems Work closely with HRBP / HR manager for HRIS implementation and automation initiatives Job Type: Full-time Pay: ₹35,000.00 - ₹40,000.00 per month Schedule: Day shift Experience: HR operations: 5 years (Required) Work Location: In person

Key Skills We’re Looking For Machine Learning Mastery Strong experience with regression, classification, clustering, regularization, and model tuning. Familiarity with CNNs, RNNs, Transformers is a plus. Python Programming Proficiency in NumPy, Pandas, Scikit-learn. Ability to build ML models from scratch and write clean, production-grade code. SQL & Data Handling Able to query large datasets efficiently and apply rigorous data validation. Statistical & Analytical Thinking Solid grasp of hypothesis testing, confidence intervals, and interpreting results in business context. ML System Design Experience building ML pipelines and deploying models in production (REST APIs, batch jobs, etc.). Understanding of monitoring and retraining models post-deployment. 🚀 Bonus If You Have: Experience with distributed data processing (Spark, Dask, etc.) MLOps tools like MLflow, Airflow, or SageMaker Exposure to cloud platforms (AWS, Azure, GCP)

Role Summary Reporting to the AVP – Human Resources, the Assistant Manager – HR will be responsible for executing and managing core HR functions at the corporate level. This role involves complete ownership of corporate recruitment (C1–C4), onboarding, induction, employee engagement, statutory compliance, HR systems management (PeopleStrong), HR operations, employee documentation, and coordination of office facilities. The role requires high levels of organizational discipline, process orientation, coordination, and stakeholder management, while upholding CGH Earth’s values and policies. Key Responsibilities: Recruitment & Onboarding Manage end-to-end recruitment for corporate roles from level C1 to C4 through PeopleStrong Recruit. Schedule and coordinate interviews every Thursday in collaboration with business heads. Ensure all recruitment is done only post-approval; replacements as per SOP, new roles with MD approval. Coordinate with the recruitment team for job portal access and requisitions. Facilitate complete onboarding through the PeopleStrong module; collect all documents on Day 1. Induction & Orientation Design and execute induction schedules for new corporate joiners. Coordinate departmental inductions with corporate heads and brief joiners on PeopleStrong software. Organize monthly orientation; maintain updated orientation list on GDrive and send email reminders to HODs. HR Operations & Documentation Maintain employee personal files (physical and digital); upload scanned copies on PeopleStrong. Prepare and issue welcome notes, promotion, and transfer notes. Handle ID card issuance, employee numbers, and coordination of office assets (laptops, phones, etc.). Maintain confidentiality of system passwords and ensure no misuse of official equipment. Statutory & Labour Compliance Handle labour licence registrations and renewals for HAT, ERPL, Chitoor Kottaram, and S&D. Coordinate with accounts for online challans and retain documentation of approvals. Prepare and submit region-wise holiday lists to labour offices and internal teams. Appraisals & Renewals Coordinate performance appraisals within a 45-day timeline; manage the process through PeopleStrong. Manage conversions, renewals, and extensions of contracts via the system and ensure proper filing. Payroll & Benefits Coordination Submit the monthly payroll report by the 22nd with all relevant changes (new joiners, exits, salary revisions, etc.). Verify and process LTA, medical reimbursements, and salary advances as per policy. Ensure employees are covered under group medical insurance and ESI/PF enrollments are done on joining. Employee Engagement & Events Plan and execute monthly employee engagement events and appreciation activities. Organize corporate functions, farewell events, seasonal celebrations, and birthday acknowledgments. Coordinate gift arrangements for occasions like weddings, baby showers, etc. CSR Activities Coordinate and support Corporate Social Responsibility initiatives as per CGH Earth’s CSR plan. Collaborate with relevant NGOs, local community partners, and internal teams to schedule CSR events and campaigns. Maintain documentation, records, and reports of CSR activities in line with compliance requirements. Office Administration Support Coordinate with Purchase and Engineering teams for all facility needs (printers, water, electricity, furniture). Ensure proper upkeep of washrooms, garden, and equipment maintenance. Book accommodation and conveyance for interview candidates and visitors as required. Exit & Final Settlement Ensure all resignations are processed through PeopleStrong. Conduct exit interviews, initiate clearances, and coordinate F&F settlements with Payroll and Finance. Special Responsibilities Manage third-party contract staff documentation, monthly billing, and yearly renewals. Coordinate internship (IET) programs: stipend calculation, college coordination, and regular check-ins. Maintain corporate attendance, regularization tracking, and reporting to L1 managers. Candidate Profile: Education & Experience: MBA/PGDM in HR or equivalent qualification. Minimum 5–7 years of experience in a corporate HR role, preferably in the hospitality or service sector. Skills & Competencies: Strong process orientation and experience with HRIS systems (PeopleStrong preferred). Deep understanding of HR operations, statutory compliance, and employee lifecycle management. Excellent organizational, communication, and stakeholder management skills. Ability to manage multiple priorities with a high degree of professionalism and confidentiality. Event planning and internal communications experience is a plus. What We Offer A dynamic, value-driven work environment rooted in sustainability and people-centricity. Exposure to strategic HR functions in a leading experiential travel group. Opportunities for professional development and cross-functional collaboration. Application Process: Send your updated resume to careers@cghearth.com / hr2@cghearth.com

You will be working as a Machine Learning Engineer in an in-office setting in Hyderabad. Your primary focus will be on utilizing AI/ML techniques, specifically in computer vision applications. Your responsibilities will include designing, building, and fine-tuning machine learning models for tasks like object detection, segmentation, and image classification. As a Machine Learning Engineer, you will leverage pre-trained models and implement fine-tuning to customize them for specific use cases. It will be crucial for you to optimize model performance by incorporating cutting-edge techniques in transfer learning, regularization, and hyperparameter tuning. Collaboration with data scientists, engineers, and product teams is essential to deliver AI solutions that align with business requirements. Your role will involve developing scalable solutions and deployment pipelines to operationalize machine learning models effectively. You will need to prioritize model efficiency, ensuring high speed and low latency in production environments. Staying updated on the latest trends and technologies in AI, machine learning, and computer vision will be key in enhancing existing solutions. Additionally, you will conduct thorough evaluations of models using relevant metrics and implement strategies for performance enhancement. Troubleshooting and resolving model-related issues in production environments will also be part of your responsibilities. To qualify for this role, you should hold a Bachelor's, Master's, or PhD in Computer Science and possess at least 3 years of experience in machine learning or deep learning, focusing on computer vision. Expertise in model fine-tuning, transfer learning, and working with pre-trained models like ResNet, VGG, and EfficientNet is required. Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Keras, along with a deep understanding of deep learning architectures, is essential. Familiarity with vision-specific tasks, data preprocessing, augmentation, and labeling techniques for vision tasks, as well as proficiency in programming languages like Python, C++, or similar, are necessary. A strong grasp of model evaluation techniques and metrics for computer vision tasks and experience with cloud platforms and containerization technologies will be advantageous.,

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 ob 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 Any Graduate 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.)

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.