7171 Machine Learning Jobs - Page 39

Keysight Technologies is looking for R&D Engineer 1, Software to join our dynamic team and embark on a rewarding career journey Analyzing customer needs to determine appropriate solutions for complex technical issues Creating technical diagrams, flowcharts, formulas, and other written documentation to support projects Providing guidance to junior engineers on projects within their areas of expertise Conducting research on new technologies and products in order to recommend improvements to current processes Developing designs for new products or systems based on customer specifications Researching existing technologies to determine how they could be applied in new ways to solve problems Reviewing existing products or concepts to ensure compliance with industry standards, regulations, and company policies Preparing proposals for new projects, identifying potential problems, and proposing solutions Estimating costs and scheduling requirements for projects and evaluating results

Keysight Technologies is looking for R&D Engineer 1, Software to join our dynamic team and embark on a rewarding career journey Analyzing customer needs to determine appropriate solutions for complex technical issues Creating technical diagrams, flowcharts, formulas, and other written documentation to support projects Providing guidance to junior engineers on projects within their areas of expertise Conducting research on new technologies and products in order to recommend improvements to current processes Developing designs for new products or systems based on customer specifications Researching existing technologies to determine how they could be applied in new ways to solve problems Reviewing existing products or concepts to ensure compliance with industry standards, regulations, and company policies Preparing proposals for new projects, identifying potential problems, and proposing solutions Estimating costs and scheduling requirements for projects and evaluating results

Microland Limited is looking for Analyst - Consulting to join our dynamic team and embark on a rewarding career journey Gather, interpret, and analyze data to identify trends, patterns, and opportunities that support strategic decision-making Prepare clear, actionable reports, dashboards, and visualizations using tools like Excel, SQL, Power BI, or Tableau Collaborate with stakeholders to define business problems and recommend data-driven solutions Ensure data integrity, validate findings, and document methodologies Present insights to management and cross-functional teams in a concise and impactful manner Stay updated on industry best practices, tools, and emerging trends to enhance analysis quality and business outcomes

Paramatrix Technologies Pvt. Ltd is looking for Junior AL/ML to join our dynamic team and embark on a rewarding career journey We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team The Machine Learning Engineer will be responsible for designing, developing, and deploying machine learning models to solve complex problems and enhance our products or services The ideal candidate will have a strong background in machine learning algorithms, programming, and data analysis Responsibilities:Problem Definition:Collaborate with cross-functional teams to define and understand business problems suitable for machine learning solutions Translate business requirements into machine learning objectives Data Exploration and Preparation:Analyze and preprocess large datasets to extract relevant features for model training Address data quality issues and ensure data readiness for machine learning tasks Model Development:Develop and implement machine learning models using state-of-the-art algorithms Experiment with different models and approaches to achieve optimal performance Training and Evaluation:Train machine learning models on diverse datasets and fine-tune hyperparameters Evaluate model performance using appropriate metrics and iterate on improvements Deployment:Deploy machine learning models into production environments Collaborate with DevOps and IT teams to ensure smooth integration Monitoring and Maintenance:Implement monitoring systems to track model performance in real-time Regularly update and retrain models to adapt to evolving data patterns Documentation:Document the entire machine learning development pipeline, from data preprocessing to model deployment Create user guides and documentation for end-users and stakeholders Collaboration:Collaborate with data scientists, software engineers, and domain experts to achieve project goals Participate in cross-functional team meetings and knowledge-sharing sessions

As a part of GIG, Godrej Industries Group (GIG) is in the business of oleo-chemicals, surfactants, finance & investments, and estate management. In the past few years, the group has also focused on increasing its global footprint in developing economies like Latin America, Indonesia and Africa through its FMCG arm Godrej Consumer Products Limited (GCPL) . GCPL is a leader among the Indian-born FMCG companies with leading Household and Personal Care Products. The real estate arm, Godrej Properties Limited (GPL) brings the group s philosophy of innovation and excellence to the real estate industry. It aims to deliver superior value to all stakeholders through extraordinary and imaginative spaces created out of deep customer focus and insight. The agri-business arm Godrej Agrovet Ltd (GAVL) of GILAC is dedicated to improving the productivity of Indian farmers by innovating products and services that sustainably increase crop and livestock yields. The company operates in animal feed, oil palm, agri inputs, hybrid seeds, and poultry in which it is a leader. Godrej Capital (GC) is the vertical that aims to finance your dreams. We understand what s important to you, and taking the Group s legacy of trust, we bring to you financial solutions to secure your future, creating moments of joy. www.godrejgroup.com Designation : Deputy General Manager AI Lab Location : Mumbai, India Job Purpose As a Deputy General Manager (DGM) at the Godrej AI Lab, you will play a pivotal role in leading high-impact AI programs across group businesses. You will drive the development and deployment of advanced AI solutions, foster strong stakeholder partnerships, and manage a focused team of AI engineers and executives. This position demands a combination of strategic leadership, strong execution capabilities, and a sound understanding of AI technologies. You ll work closely with business teams, IT, and external partners to deliver outcomes that matter. Roles & Responsibilities: Lead the end-to-end lifecycle of AI initiatives from business problem framing to scaled deployment. Partner with business leaders to define priorities, scope solutions, and drive adoption. Manage and mentor a team of AI engineers and senior executives to ensure execution quality and timely delivery. Translate business challenges into technically feasible and measurable AI use cases. Guide solution design, vendor evaluations, and platform/tooling choices. Ensure integration and alignment across business, data, IT, and external stakeholders. Monitor project progress and impact metrics, proactively addressing risks or delays. Contribute to the broader AI maturity journey supporting enablement, communication, or upskilling efforts as needed. Stay informed on the evolving AI landscape to bring relevant innovations into the organization. Educational Qualification: Education: Bachelor s or Master s in Computer Science, Engineering, Data Science, or a related technical discipline. MBA or certifications in AI/Gen AI are a plus. Experience: 7+ years of experience in digital transformation, AI/ML, data science, or technology-led business roles. Strong Experience in AI and Gen AI Good track record of delivering complex, multi-stakeholder projects. Demonstrated ability to manage teams and influence cross-functional senior leaders. Experience working with external tech partners and system integrators Skills: Solid understanding of AI and machine learning concepts, platforms, and applications. Ability to translate business needs into technically sound solutions. Strong project and stakeholder management skills; proven ability to lead in a matrixed setup. Strategic and analytical mindset with a bias for execution. Excellent communication, facilitation, and relationship-building skills. Comfort with ambiguity and a proactive, problem-solving approach.

NCR Corporation is looking for OM & Billing Analyst II to join our dynamic team and embark on a rewarding career journey Gather, interpret, and analyze data to identify trends, patterns, and opportunities that support strategic decision-making Prepare clear, actionable reports, dashboards, and visualizations using tools like Excel, SQL, Power BI, or Tableau Collaborate with stakeholders to define business problems and recommend data-driven solutions Ensure data integrity, validate findings, and document methodologies Present insights to management and cross-functional teams in a concise and impactful manner Stay updated on industry best practices, tools, and emerging trends to enhance analysis quality and business outcomes

Artic Consulting is looking for Data Engineer - Microsoft Fabric Focus to join our dynamic team and embark on a rewarding career journey Liaising with coworkers and clients to elucidate the requirements for each task. Conceptualizing and generating infrastructure that allows big data to be accessed and analyzed. Reformulating existing frameworks to optimize their functioning. Testing such structures to ensure that they are fit for use. Preparing raw data for manipulation by data scientists. Detecting and correcting errors in your work. Ensuring that your work remains backed up and readily accessible to relevant coworkers. Remaining up-to-date with industry standards and technological advancements that will improve the quality of your outputs.

JIDOKA SYSTEMS PRIVATE LIMITED is looking for Data Science Engineers to join our dynamic team and embark on a rewarding career journey Data Exploration and Preparation:Explore and analyze large datasets to understand patterns and trends Prepare and clean datasets for analysis and model development Feature Engineering:Engineer features from raw data to enhance the performance of machine learning models Collaborate with data scientists to identify relevant features for model training Model Development:Design and implement machine learning models to solve business problems Work on both traditional statistical models and modern machine learning algorithms Scalable Data Pipelines:Develop scalable and efficient data pipelines for processing and transforming data Utilize technologies like Apache Spark for large-scale data processing Model Deployment:Deploy machine learning models into production environments Collaborate with DevOps teams to integrate models into existing systems Performance Optimization:Optimize the performance of data pipelines and machine learning models Fine-tune models for accuracy, efficiency, and scalability Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders Communicate technical concepts and findings to non-technical audiences Continuous Learning:Stay current with advancements in data science and engineering Implement new technologies and methodologies to improve data engineering processes

THE ROLE: T he AI Models team is looking for exceptional machine learning scientists and engineers to explore and innovate on training and inference techniques for large language models (LLMs), large multimodal models (LMMs), image/video generation and other foundation models . You will be part of a world-class research and development team focussing on efficient and scalable pre-training, instruction tuning, alignment and optimization . As an early member of the team, you can help us shap e the direction and strategy to fulfill this important charter. THE PERSON: This role is for you if you are passionate about reading through the latest literature, coming up with novel ideas, and implementing those through high quality code to push the boundaries on scale and performance. The ideal candidate will have both theoretical expertise and hands-on experience with developing LLMs, LMMs, and/or diffusion models. We are looking for someone who is familiar with hyper-parameter tuning methods, data preprocessing & encoding techniques and distributed training approaches for large models. KEY RESPONSIBILITIES: Pre-train and post-train models over large GPU clusters while optimizing for various trade-offs . Improve upon the state-of-the- art in G enerat ive AI model architectures, data and training techniques. Accelerate the training and inference speed across AMD accelerators . Build agentic frameworks to solve various kinds of problems Publish your research at top-tier conferences, workshops and/ or through technical blogs. Engage with academia and open-source ML communities. Drive continuous improvement of infrastructure and development ecosystem. PREFERRED EXPERIENCE: Strong development and debugging skills in Python. Experience in deep learning frameworks ( like PyTorch or TensorFlow ) and distributed training tools (like DeepSpeed or Pytorch Distributed ) . Experience with fine-tuning methods (like RLHF & DPO) as well as parameter efficient techniques (like LoRA & DoRA). Solid understanding o f various types of transformer s and state space models . Strong publication record in top-tier conferences, workshops or journals. S olid communication and problem-solving skills. Passionate about learning new stuffs in this domain as well as innovating on top of it ACADEMIC CREDENTIALS: Advanced degree ( Master s or PhD) in machine learning, computer science, artificial intelligence, or a related field is expected. Exceptional Bachelor s degree candidates may also be considered . #LI-MK1 Benefits offered are described: AMD benefits at a glance .

Role : Data Scientist with ML Knowledge. Experience : 3-4 years. Skill Set : Data Science Machine Learning Data Modelling and Statistical Analysis Experience in Python , DBs and ML packages Experience in Flask API , Cloud services (Azure, AWS, Open AI , Gemini Flash) Experience in version control and collaborating with development teams Knowledge of Deep Learning Frameworks(Pytorch / TensorFlow etc) Responsibility Sanitize, analyze, and preprocess structured and unstructured data using tools like Pandas, NumPy, SQL, and Spark. Implement ML algorithms using Python and libraries such as scikit-learn, TensorFlow, PyTorch, XGBoost.Perform feature engineering , model tuning, and validation to optimize model performance. Develop dashboards and reports using tools like Power BI, Tableau , or Streamlit for stakeholder communication. Continuously monitor and improve the performance of deployed models. Stay updated with the latest trends in ML/AI and bring innovative ideas to the table.

Videonetics Technology Pvt Ltd. is looking for Computer Vision Research Engineer to join our dynamic team and embark on a rewarding career journey Conduct research and development activities in the assigned field. Design and execute experiments and analyze data. Develop prototypes and test new technologies. Prepare technical reports and documentation. Collaborate with other researchers and stakeholders on projects.

Risk Analytics - Manager/Senior Manager - Risk Operations LocationNoida, Uttar Pradesh DepartmentOperations & Support Risk Operations-Offline Payments Employment TypeFull-time Employment Work EnvironmentOn-site : Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the team: This team involves in making a difference. A lot of contingency and new challenges are encouraged within the team to do stuff that is meaningful for those we serve. We are successful, and our successes are rooted in our people's collective energy and unwavering focus on the employees, and that's how it will always be change management in Social Media. Why join us If you are the right fit, we believe in creating wealth for you with enviable 500 mn+ registered users, 21 mn+ merchants, and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story! About the Role: As a Manager in Fraud Analytics, you will play a key role in monitoring, analyzing, and preventing fraudulent activities across our payment platforms. Reporting to the Senior Manager Fraud Analytics, you will be responsible for building and maintaining fraud detection models, configuring rules, and supporting control-related projects. You will also collaborate with other teams such as Risk ops, Product, and Engineering to ensure that the organizations risk controls are both effective and scalable. Key Responsibilities: Develop and refine fraud detection models, leveraging both rule-based and data-driven approaches to prevent and mitigate fraud risks. Monitor real-time transaction data for suspicious activity, escalating concerns and providing recommendations for corrective action. Assist in the configuration of fraud detection rules within the transaction monitoring system, ensuring accuracy and minimal false positives. Analyze fraud trends and transaction patterns to proactively address potential vulnerabilities and emerging fraud schemes. Collaborate with cross-functional teams, including Risk, Compliance, and Product, to ensure fraud risk mitigation strategies are aligned with business objectives. Support fraud-related control projects, from planning through to execution, ensuring compliance with RBI regulations and internal risk frameworks. Assist in preparing fraud risk reports for senior management, outlining key insights, emerging trends, and actionable recommendations. Work closely with the Senior Manager to ensure regulatory requirements are met, including adherence to RBI and other regulatory standards. Continuously improve fraud monitoring tools and techniques, suggesting enhancements to improve fraud detection accuracy and efficiency. Participate in regulatory audits and assist in responding to fraud-related queries from authorities. Qualifications: A bachelors degree in Data Analytics, Statistics, Risk Management, or a related field is preferred. 4-8 years of experience in fraud analytics, risk management, or a related role within the fintech or payments industry. Strong understanding of fraud detection techniques, including rule-based systems and data-driven models. Experience with fraud detection tools, transaction monitoring systems, and data analytics platforms. Familiarity with RBI guidelines and other regulatory frameworks governing payment companies in India. Strong analytical and problem-solving skills, with the ability to identify trends and make data-driven decisions. Excellent communication skills, with the ability to present insights and findings clearly to both technical and non-technical audiences. Experience working in a high-volume transaction environment, such as a payments gateway, mobile wallet, or UPI system. Preferred Skills: Knowledge of machine learning models for fraud detection.Experience working with fraud detection systems in the fintech space, especially in a licensed TPAP setup. Familiarity with compliance and audit requirements in a regulated financial environment. Why Join Us: We aim at bringing half a billion Indians into the mainstream economy, and everyone working here is striving to achieve that goal. Our success is rooted in our peoples collective energy and unwavering focus on the customers, and thats how it will always be. We are the largest merchant acquirer in India. Compensation: If you are the right fit, we believe in creating wealth for you. With enviable 500 mn registered users, 21 mn merchants, and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants and we are committed to it. Indias largest digital lending story is brewing here. Its your opportunity to be a part of the story!

About Team: IT Team is responsible for overseeing IT Assets (hardware and software) issuance and allocations to the respective users. Our motto is “ Getting IT Right Every time ” and our expectation is that we will ensure that all our end users across all grades (full-time MGs), interns, off rolls, SG) have access to the best IT assets which will help the users in delivering their duties to their fullest abilities and thereby contributing to the ever-increasing growth of the organization. Title IT Program Manager (Finance) About the role Work with the IT Head and drive the following key KPIs: Usage Monitoring: Track the usage of key licenses and proactively highlight any potential overage risks. Building up the consumption and tracking up the best renewal requirements. Cost Provisioning: Assist accounting team in closure of books through timely and correct provisioning of usage and cost actualisation for P&L management. Cost projection and planning for high value tools and software. Budget Tracking: Work with product and engineering teams to prepare the company wide budgets. Track the actual expenditure vs budgeted and appraise the management of any deviation Evaluate budget planning and cost management for various licenses, softwares, API and other cloud services. Contract Negotiation: Work with the purchase team in negotiating and structuring the contracts of different IT related services. Check with business for any renewal requirement of IT related tools and softwares. Optimization: Employ AI tools to drive ongoing enhancements in processes, systems, and tracking Superpowers/ Skills that will help you succeed in this role Degree in Finance with 5+ years of experience Excellent verbal and written communication abilities across all levels of an organization Cohesively work with a lot of people, across functional teams every day Advanced Microsoft Excel skills and experience with other financial systems such as SAP, Anaplan Proficiency with AI tools including ChatGPT, Google Gemini, and Notebook LM

Paytm is India’s leading digital payments and financial services company, which is focused on driving consumers and merchants to its platform by offering them a variety of payment use cases. Paytm provides consumers with services like utility payments and money transfers, while empowering them to pay via Paytm Payment Instruments (PPI) like Paytm Wallet, Paytm UPI, Paytm Payments Bank Netbanking, Paytm FASTag and Paytm Postpaid - Buy Now, Pay Later. To merchants, Paytm offers acquiring devices like Soundbox, EDC, QR and Payment Gateway where payment aggregation is done through PPI and also other banks’ financial instruments. To further enhance merchants’ business, Paytm offers merchants commerce services through advertising and Paytm Mini app store. Operating on this platform leverage, the company then offers credit services such as merchant loans, personal loans and BNPL, sourced by its financial partners. About the team: Paytm is witnessing a broad growth across our platform as we continue to register increased adoption of our lending products, Paytm Postpaid (BNPL), merchant loans and personal loans. Lending business is driven by data science and analytics, providing data driven solutions About the role Evangelize and demonstrate value and impact of analytics for informed business decision making by developing and deploying analytical solutions and providing data driven insights to business stakeholders to understand and solve for various lending business nuances. Expectations/: 2-5 years’ experience in analytics domain in analytics consulting and/or BFSI industry Bachelors or Master’s degree in statistics, economics, engineering, math or relevant quantitative discipline with strong academic performance is required Strong expertise in machine learning, data analytics, statistics, data management, tools such as python/R, big data, and visualisation Strong knowledge of innovation in analytics, analytics use cases and technologies Exceptional problem-solving skills with demonstrated ability to structure complex problems and develop solutions Experience in growth and development of advanced analytics as a practice Driven and proactive in taking initiatives and driving implementation in coordination with the business stakeholders Excellent communication and presentation skills Extremely strong bias for action with an impact-oriented mind set Why join us A collaborative output driven program that brings cohesiveness across businesses through technology Improve the average revenue per use by increasing the cross-sell opportunities A solid 360 feedback from your peer teams on your support of their goals Compensation: If you are the right fit, we believe in creating wealth for you With enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story!

Paytm is India’s leading digital payments and financial services company, which is focused on driving consumers and merchants to its platform by offering them a variety of payment use cases. Paytm provides consumers with services like utility payments and money transfers, while empowering them to pay via Paytm Payment Instruments (PPI) like Paytm Wallet, Paytm UPI, Paytm Payments Bank Netbanking, Paytm FASTag and Paytm Postpaid - Buy Now, Pay Later. To merchants, Paytm offers acquiring devices like Soundbox, EDC, QR and Payment Gateway where payment aggregation is done through PPI and also other banks’ financial instruments. To further enhance merchants’ business, Paytm offers merchants commerce services through advertising and Paytm Mini app store. Operating on this platform leverage, the company then offers credit services such as merchant loans, personal loans and BNPL, sourced by its financial partners. About the team: Paytm is witnessing a broad growth across our platform as we continue to register increased adoption of our lending products, Paytm Postpaid (BNPL), merchant loans and personal loans. Lending business is driven by data science and analytics, providing data driven solutions About the role Evangelize and demonstrate value and impact of analytics for informed business decision making by developing and deploying analytical solutions and providing data driven insights to business stakeholders to understand and solve for various lending business nuances. Expectations/: 2-6 years’ experience in analytics domain in analytics consulting and/or BFSI industry Bachelors or Master’s degree in statistics, economics, engineering, math or relevant quantitative discipline with strong academic performance is required Strong expertise in machine learning, data analytics, statistics, data management, tools such as python/R, big data, and visualisation Strong knowledge of innovation in analytics, analytics use cases and technologies Exceptional problem-solving skills with demonstrated ability to structure complex problems and develop solutions Experience in growth and development of advanced analytics as a practice Driven and proactive in taking initiatives and driving implementation in coordination with the business stakeholders Excellent communication and presentation skills Extremely strong bias for action with an impact-oriented mind set Why join us A collaborative output driven program that brings cohesiveness across businesses through technology Improve the average revenue per use by increasing the cross-sell opportunities A solid 360 feedback from your peer teams on your support of their goals Compensation: If you are the right fit, we believe in creating wealth for you With enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story!

Should have exp with Agen c frameworks like Crew AI, Lang, graph, Swarm AI etc. Must have contributed significantly to the development of at least 2 Gen AI projects. Must have worked with mul ple Gen AI models including GPT, Claude, Qwen, Lama etc.

Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications. 1. Applies scientific methods to analyse and solve software engineering problems. 2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance. 3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers. 4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities. 5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. - Grade Specific Is highly respected, experienced and trusted. Masters all phases of the software development lifecycle and applies innovation and industrialization. Shows a clear dedication and commitment to business objectives and responsibilities and to the group as a whole. Operates with no supervision in highly complex environments and takes responsibility for a substantial aspect of Capgemini’s activity. Is able to manage difficult and complex situations calmly and professionally. Considers ‘the bigger picture’ when making decisions and demonstrates a clear understanding of commercial and negotiating principles in less-easy situations. Focuses on developing long term partnerships with clients. Demonstrates leadership that balances business, technical and people objectives. Plays a significant part in the recruitment and development of people. Skills (competencies) Verbal Communication

This role involves the development and application of engineering practice and knowledge in defining, configuring and deploying industrial digital technologies (including but not limited to PLM and MES) for managing continuity of information across the engineering enterprise, including design, industrialization, manufacturing and supply chain, and for managing the manufacturing data. - Grade Specific Focus on Digital Continuity and Manufacturing. Develops competency in own area of expertise. Shares expertise and provides guidance and support to others. Interprets clients needs. Completes own role independently or with minimum supervision. Identifies problems and relevant issues in straight forward situations and generates solutions. Contributes in teamwork and interacts with customers.

Role & responsibilities Lead the development and implementation of advanced analytical models and algorithms to support decision-making processes. Utilize statistical analysis and machine learning techniques to extract insights from large and complex datasets. Collaborate with business stakeholders to understand their needs and requirements, and translate them into actionable analytical solutions. Design and conduct experiments to test hypotheses and evaluate the effectiveness of various strategies and interventions. Mentor and coach junior members of the team, providing guidance on technical skills and professional development. Communicate findings and recommendations to stakeholders through data visualization, reports, and presentations. Stay current with the latest advancements in data science, machine learning, and technology trends, and evaluate their potential impact on the business. Preferred candidate profile 5-8 years of experience in data analysis, statistical modelling, and machine learning, with a proven track record of delivering actionable insights and solutions. Proficiency in programming languages such as Python, R, or SQL, and experience with statistical analysis tools and libraries. Strong understanding of quantitative methods, including regression analysis, time series analysis, optimization, and experimental design. Experience working with cloud technologies (especially Azure) is preferred. Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and influence decision-making processes.

Data analysts import, inspect, clean, transform, validate, model, or interpret collections of data with regard to the business goals of the company. They ensure that the data sources and repositories provide consistent and reliable data. Data analysts use different algorithms and IT tools as demanded by the situation and the current data. They might prepare reports in the form of visualizations such as graphs, charts, and dashboards. - Grade Specific The roles plays a critical role in leveraging data analysis to provide insights and recommendations to the stakeholders. Technical skills combined with consulting skills to support decision-making, drive business growth, and deliver value through data-driven insights.

This role involves the development and application of engineering practice and knowledge in defining, configuring and deploying industrial digital technologies (including but not limited to PLM and MES) for managing continuity of information across the engineering enterprise, including design, industrialization, manufacturing and supply chain, and for managing the manufacturing data. - Grade Specific Focus on Digital Continuity and Manufacturing. Develops competency in own area of expertise. Shares expertise and provides guidance and support to others. Interprets clients needs. Completes own role independently or with minimum supervision. Identifies problems and relevant issues in straight forward situations and generates solutions. Contributes in teamwork and interacts with customers.

- Bachelor's degree, or 3+ years of Amazon (blue badge/FTE) experience - Knowledge of Microsoft Office products and applications - 5+ years of experience in planning / workforce management / quantitative research or analysis and hands-on experience in building capacity models in a transactional or call center environment The role owns the end-to-end capacity and resource planning for the back-office operation of our global Candidate Services organization. We are looking for an experienced individual who is passionate about the Customer Experience of their internal stakeholder, who thinks and acts globally, and who has the ability to contribute to innovations in our worldwide planning team. Key job responsibilities Love data as much as we do? Do you enjoy working in an entrepreneurial, fast paced environment, solving complex problems and delivering innovative solutions? Do you like to innovate and simplify? Want to influence at Amazon? We have the career for you. The successful candidate will have exceptional communication and organizational skills, superior attention to detail, the ability to prioritize in a fast-paced environment, a desire to innovate and continuously learn, analytical and critical thinking skills, and the customer service focus that the world associates with and expects from Amazon. • Working on a diverse project portfolio supporting Planning initiatives and strategy. • Cross-functional collaboration across multiple business teams, Operations, Global Outsourcing and Program Management. • Create new reporting & analytic opportunities by analyzing and understanding key planning processes. • Document writing and presentations on key initiatives used to influence necessary business actions benefiting the back-office operations • Create optimal capacity plan for the business by managing trade-offs between Candidate Experience and Cost Effectiveness. • Coordinate with Operations and PM teams to analyze historical data and demand forecasts and build out headcount planning models for future growth. • Mitigate capacity risks by managing dependencies across multiple operational teams and sites. • Capacity planning for new business/sites. • Improve and automate existing practices. • Scopes out the requirements for new metrics and tools. About the team The WFS GCO Global Planning Team’s mission is to ensure WFS GCO has the right people, in the right place, at the right time with minimal impact from business / tech disruption and strike the right balance between SLA and cost. The team will focus on building organizational capacity that is flexible and scalable. The Planning team will drive results through consistent monitoring of established goals and metrics that successfully measure, communicate results and allow the team to be “proactive” vs “reactive” to changing trends and variances. The Planning team acts as a backbone for entire business vertical by tying the organizational goals with the delivery targets and bridging the gaps by effective headcount planning. Knowledge of data analytics with tools such as Tableau, SQL, Quick-sight Statistical programming experience using R or Python / experience in statistical modeling tools and/or developing reports using OBIEE, Tableau or other reporting platforms. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Responsibilities: Design, develop, and maintain scalable data pipelines using modern frameworks and tools Build data models and transform raw data into clean, usable formats for analytics and machine learning Collaborate with analysts, data scientists, and product teams to gather requirements and deliver data solutions Ensure data quality through testing, validation, and monitoring Optimize data workflows for cost, performance, and reliability Document data flows, definitions, and technical decisions clearly and consistently Contribute to the evolution of data engineering best practices and internal tooling Qualifications: 4 6 years of hands-on experience in data engineering or related fields Proficient in Python or Scala and advanced SQL Experience with orchestration tools such as Airflow, DBT, or similar Familiar with modern cloud data platforms (e.g., Snowflake, Databricks, Redshift, BigQuery) Solid understanding of ETL/ELT practices, data modeling, and performance tuning Exposure to data governance, cataloging, and security concepts Experience working with cloud services (AWS, Azure, or GCP) Strong problem-solving skills and the ability to work both independently and collaboratively. Data Engineer, Scala, Etl, Airflow, Sql, Dbt

8.5 to 12 years of experience with Data Science, AIML, and Generative AI technologies. Strong proficiency in programming languages such as Python , R, and JavaScript. Experience with machine learning frameworks and tools. Familiarity with chatbot development platforms. Extensive experience in Python programming languages along with design and development of predictive models ML algorithms Chatbots Talk to Database statistical analyses and feature engineering to solve complex problems for Businesses Extensive hands-on experience in implementing end-to-end projects utilizing Generative AI Chatbot Development, Azure Open Ai - Generative Ai, Data Science, Python

At least 6 - 8 years overall experience At least 4-5 years experience in Machine Learning / Deep Learning Extensive experience working on NLP Conversant with Python programming Good knowledge of and experience working on Generative AI Adept in Prompt Engineering Should have a good understanding of microservices architecture and Data Engineering Should be able to understand user needs and map with corresponding technologies Should be able to architect Generative AI based solutions Should be able to guide the team technically Should be able to highlight technical limitations and shortcomings well in advance and suggest alternative approaches / solutions Should have working experience on Azure Cognitive Services Experience working on client facing roles and direct client interactions Good communication skills Gcp/ Aws/ Azure, Nlp & Deep Learning, Data Science, Ai Ml