Job Title: Data Scientist (Gen/Agentic AI solutions) Company: Holcim Job Category: Machine Learning Roles & Responsibilities: About Holcim As the world’s global leader in innovative and sustainable building materials, Holcim is reinventing the way the world builds. Supported by a 45,000\-strong global team spread across 44 countries and four industry segments (Cement, Aggregates, Ready\-Mix Concrete and Solutions \& Products), we are committed to shaping a greener, smarter and healthier world. It’s our ambition to lead the industry in reducing carbon emissions and accelerating the transition towards low\-carbon constructions globally. Experience: * 8\+ years of progressive experience in data science and machine learning, with a minimum of 3 years focused on Generative AI and LLM\-based systems. * Demonstrated track record of delivering AI solutions at enterprise scale * Hands\-on experience with full AI/ML lifecycle management: data engineering, feature stores, model training, evaluation, deployment, and monitoring. * Industry experience especially in Manufacturing Function in a Building Material Industry, Manufacturing, Process or Pharma is preferred. Key Responsibility: * Platform Prototyping: Design and implement core ML components, such as feature stores, model registries, and automated evaluation pipelines. * Standardization: Establish best practices for the ML lifecycle, from data labeling and experimentation to CI/CD for ML (MLOps). * Scalability: Optimize model inference and training workflows to handle high\-throughput, low\-latency requirements. * Internal Consulting: Act as a subject matter expert for product\-facing data science teams, helping them leverage platform tools to solve complex business problems. * Tooling \& Automation: Build internal libraries and SDKs that simplify the transition from a local research environment to a distributed production environment. * RAG Infrastructure: Design and optimize high\-performance retrieval systems using vector databases (e.g., Pinecone, Weaviate) and advanced semantic search techniques. * LLM Evaluation Frameworks: Build automated "vibe\-check" replacements. Develop rigorous evaluation pipelines using LLM\-as\-a\-judge, G\-Eval, or custom scoring rubrics to measure hallucination, faithfulness, and relevancy. * Agentic Orchestration: Develop and standardize the use of agentic frameworks (e.g., LangGraph, CrewAI) to allow product teams to build complex, multi\-step AI workflows. * Model Lifecycle Management: Manage the transition between model providers (OpenAI, Anthropic, Google) and open\-source alternatives (Llama 3\+, Mistral) through unified abstraction layers. * Cost \& Latency Optimization: Implement caching strategies (e.g., GPTCache), prompt compression, and token\-usage monitoring to ensure the platform remains economically viable. * Guardrails \& Safety: Integrate real\-time content filtering and PII masking to ensure all LLM outputs comply with corporate security and ethical standards. Work Location: Navi Mumbai, Maharashtra, India Availability: Full time

Job Title: Data Analytics Associate Company: JPMorganChase Job Category: Machine Learning Roles & Responsibilities: JOB DESCRIPTION As a Financial Analytics Associate within our Asset and Wealth Management Transformation and Analytics Team, you will define, refine, and deliver strategic goals for our firm by translating complex financial and operational data into actionable insights, predictive models, and AI\-promoten solutions that enhance decision\-making and promote business performance. Job Responsibilities*:* * Scope, prioritize and co\-ordinate activities with product owners and finance stakeholders. Partner with Finance, Risk and Business teams to identify strategic analytical, data science and AI solutions. Perform in\-depth financial analysis including revenue, expense, margin, variance, profitability, product/client profitability and KPI analysis to support business decisions. * Design, develop and automate management reporting, dashboards and scorecards covering P\&L, balance sheet, cash flow, forecasts, budgets, headcount and performance metrics. Drive the annual budgeting, mid\-year re\-forecast, rolling forecast and multi\-year strategic planning cycles in partnership with Business Finance teams. * Implement exploratory data analysis (EDA) and statistical modelling to identify trends, patterns and drivers of financial performance. Identify key financial and operational data sources that can drive business impact; ensure data quality, reconciliation and audit trails across reporting outputs. * Design and develop data mining and reporting queries from large data sets (both structured and unstructured) and convert raw financial data into clear information. Build compelling visualizations and storytelling using BI tools (Tableau, Power BI, Alteryx) that translate financial results and model outputs into clear business narratives for senior leadership. * Employ scaling and automation to data preparation, consolidation and reporting workflows to improve efficiency and accuracy of recurring financial deliverables. Transform model outputs and analytical results into formats digestible to end users through visualizations, clear tables and thoughtful presentations; assist technical and non\-technical stakeholders in interpreting the analysis. * Leverage AI assistants and copilots (e.g., Microsoft 365 Copilot, GitHub Copilot, and in\-house Gen AI tooling) to accelerate analytics workflows — code generation, SQL/Python drafting, document summarization, and natural\-language querying of financial datasets — while applying firm\-approved controls on data confidentiality and model output review. * Self\-starter, attention to detail and results oriented, able to work under minimal guidance in a fast\-paced environment. * Uses pertinent financial data and facts to identify and solve a range of business problems within area of expertise. * Mandatory experience in financial analytics, FP\&A, management reporting, variance analysis and KPI/performance measurement. Strong understanding of accounting principles (US GAAP / IFRS), financial statements (P\&L, balance sheet, cash flow), journal entries, intercompany, allocations, accruals and month\-end close processes. * Working knowledge of profitability and performance metrics: unit economics, gross/operating margin, contribution margin, EBITDA, ROE/ROA, cost\-to\-income ratio, NIM, fee revenue and AUM\-based metrics. * Mandatory experience in Exploratory Data Analysis (EDA), regression and statistical/machine learning modelling applied to financial or business datasets. Hands\-on experience with pandas and PySpark/PySQL stack. Experience in building data extraction, transformation and modelling pipelines. * Strong proficiency in SQL (Snowflake, Databricks) and Python (Pandas, NumPy, Scikit\-learn, Keras, PySpark/PySQL) for data wrangling, modelling, AI pipelines and automation of financial workflows. Hands\-on experience using AI skills / copilots to support analytics work — e.g., Microsoft 365 Copilot (Excel, Power BI, Word, PowerPoint), GitHub Copilot, for SQL generation, data summarization and productivity gains in day\-to\-day financial analytics deliverables; awareness of responsible\-AI, data\-privacy and model\-risk guardrails. * Working proficiency in data visualization tools; strong experience with BI technologies including but not limited to Tableau, Power BI and Alteryx. Experience in end\-to\-end implementation of Business Intelligence (BI) reports and dashboards for finance, risk or business performance reporting. Should be good at mathematics, inferential statistics and quantitative analysis as applied to financial data and model building. * Provides explanations and information to others on topics within area of expertise; strong business partnering skills with Finance and Business stakeholders. * Experience Required: 5\+ years in data/analytics related projects with 2\+ years in financial analytics * Good communication and analytical skills, with the ability to present financial insights, model results and AI\-driven outputs clearly to senior stakeholders. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. J.P. Morgan Asset \& Wealth Management delivers industry\-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals. Work Location: Mumbai, India Availability: Full time

Job Title: Machine Learning-Lead AI and Data Science Engineer II Company: Deloitte Job Category: Machine Learning Roles & Responsibilities: * Implement large\-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud\-based platforms. * Leverage automation, cognitive and science\-based techniques to manage data, predict scenarios and prescribe actions. * Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As\-a\-Service offerings for continuous insights and improvements. Job Title: Manager Job Summary: We are looking for a Generative AI Team Lead with hands\-on experience to design, develop and deploy AI and Generative AI models that generate high quality content, such as text, images, chatbots, etc. The Ideal candidate will have expertise in deep learning, natural language processing, and computer vision. Key Responsibilities: * Lead and deliver large\-scale AI/Gen AI projects across multiple industries and domains. * Liaison with on\-site and client teams to understand various business problem statements and project requirements. * Lead a team of Data Engineers, ML/AI Engineers, Prompt engineers, and other Data \& AI professionals to deliver projects from inception to implementation. * Brainstorm, build \& improve AI/Gen AI models developed by the team \& identify scope for model improvements \& best practices. * Assist and participate in pre\-sales, client pursuits and proposals. * Drive a human\-led culture of Inclusion \& Diversity by caring deeply for all team members. \#AI\&DATAROLESAUGUST29 \#AIE2027 Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state\-of\-the\-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Work Location: Mumbai, Maharashtra, India Availability: Full time

Job Title: Senior Test Engineer Company: QualityKiosk Job Category: Machine Learning Roles & Responsibilities: Senior Test Engineer ------------------------ Basic Section ----------------- No. Of Openings1 DesignationSenior Test Engineer Closing Date 29 Dec 2026 Organisational ------------------ MainBUQuality Engineering Sub BUMS \- Banking \& FS CountryIndia RegionIndia StateMaharashtra CityMumbai Working LocationMumbai Client LocationNA Skills ---------- #### Skill No data available #### Working Language No data available JOB DESCRIPTION ------------------- Work Location: Maharashtra, India Availability: Full time

Job Title: Data Analytics Associate Company: JPMorganChase Job Category: Machine Learning Roles & Responsibilities: JOB DESCRIPTION As a Financial Analytics Associate within our Asset and Wealth Management Transformation and Analytics Team, you will define, refine, and deliver strategic goals for our firm by translating complex financial and operational data into actionable insights, predictive models, and AI\-promoten solutions that enhance decision\-making and promote business performance. Job Responsibilities*:* * Scope, prioritize and co\-ordinate activities with product owners and finance stakeholders. Partner with Finance, Risk and Business teams to identify strategic analytical, data science and AI solutions. Perform in\-depth financial analysis including revenue, expense, margin, variance, profitability, product/client profitability and KPI analysis to support business decisions. * Design, develop and automate management reporting, dashboards and scorecards covering P\&L, balance sheet, cash flow, forecasts, budgets, headcount and performance metrics. Drive the annual budgeting, mid\-year re\-forecast, rolling forecast and multi\-year strategic planning cycles in partnership with Business Finance teams. * Implement exploratory data analysis (EDA) and statistical modelling to identify trends, patterns and drivers of financial performance. Identify key financial and operational data sources that can drive business impact; ensure data quality, reconciliation and audit trails across reporting outputs. * Design and develop data mining and reporting queries from large data sets (both structured and unstructured) and convert raw financial data into clear information. Build compelling visualizations and storytelling using BI tools (Tableau, Power BI, Alteryx) that translate financial results and model outputs into clear business narratives for senior leadership. * Employ scaling and automation to data preparation, consolidation and reporting workflows to improve efficiency and accuracy of recurring financial deliverables. Transform model outputs and analytical results into formats digestible to end users through visualizations, clear tables and thoughtful presentations; assist technical and non\-technical stakeholders in interpreting the analysis. * Leverage AI assistants and copilots (e.g., Microsoft 365 Copilot, GitHub Copilot, and in\-house Gen AI tooling) to accelerate analytics workflows — code generation, SQL/Python drafting, document summarization, and natural\-language querying of financial datasets — while applying firm\-approved controls on data confidentiality and model output review. * Self\-starter, attention to detail and results oriented, able to work under minimal guidance in a fast\-paced environment. * Uses pertinent financial data and facts to identify and solve a range of business problems within area of expertise. * Mandatory experience in financial analytics, FP\&A, management reporting, variance analysis and KPI/performance measurement. Strong understanding of accounting principles (US GAAP / IFRS), financial statements (P\&L, balance sheet, cash flow), journal entries, intercompany, allocations, accruals and month\-end close processes. * Working knowledge of profitability and performance metrics: unit economics, gross/operating margin, contribution margin, EBITDA, ROE/ROA, cost\-to\-income ratio, NIM, fee revenue and AUM\-based metrics. * Mandatory experience in Exploratory Data Analysis (EDA), regression and statistical/machine learning modelling applied to financial or business datasets. Hands\-on experience with pandas and PySpark/PySQL stack. Experience in building data extraction, transformation and modelling pipelines. * Strong proficiency in SQL (Snowflake, Databricks) and Python (Pandas, NumPy, Scikit\-learn, Keras, PySpark/PySQL) for data wrangling, modelling, AI pipelines and automation of financial workflows. Hands\-on experience using AI skills / copilots to support analytics work — e.g., Microsoft 365 Copilot (Excel, Power BI, Word, PowerPoint), GitHub Copilot, for SQL generation, data summarization and productivity gains in day\-to\-day financial analytics deliverables; awareness of responsible\-AI, data\-privacy and model\-risk guardrails. * Working proficiency in data visualization tools; strong experience with BI technologies including but not limited to Tableau, Power BI and Alteryx. Experience in end\-to\-end implementation of Business Intelligence (BI) reports and dashboards for finance, risk or business performance reporting. Should be good at mathematics, inferential statistics and quantitative analysis as applied to financial data and model building. * Provides explanations and information to others on topics within area of expertise; strong business partnering skills with Finance and Business stakeholders. * Experience Required: 5\+ years in data/analytics related projects with 2\+ years in financial analytics * Good communication and analytical skills, with the ability to present financial insights, model results and AI\-driven outputs clearly to senior stakeholders. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. J.P. Morgan Asset \& Wealth Management delivers industry\-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals. Work Location: Mumbai, India Availability: Full time

Job Title: Principal Consultant GIS Company: WSP Job Category: Machine Learning Roles & Responsibilities: WSP India is currently looking for a talented Principal Consultant – GIS to contribute \& involve assisting with data management and mapping activities related to WSP AU projects systems. The position will be for BANGLORE/MUMBAI/NOIDA location . This is a hands\-on technical and delivery\-focused role. This position provides opportunities to contribute to advanced GIS, automation, digital and strategic initiatives. A significant component will involve day\-to\-day project delivery, including routine GIS activities and supporting the operational requirements of Australian project teams. * Build and maintain strong relationships with Australian business stakeholders to ensure effective communication, alignment on priorities, and successful project delivery. * Collaborate with multiple stakeholders across Australia and global GCC teams to manage work pipelines and ensure timely delivery of geospatial services. * Act as a trusted advisor for GIS, spatial analytics, and digital transformation initiatives. * Manage and prioritise GIS work pipelines, balancing project requirements, resource capacity, deadlines and technical complexity. * Take ownership of GIS delivery for assigned projects, including scope, programme, quality, risks and technical outcomes * Facilitate collaboration across regions to promote consistency, innovation, best practices, and knowledge sharing. * Provide regular status updates, identify delivery risks, and implement mitigation strategies. * Support business development activities, proposals, estimates, and technical solution development. Technical Leadership \& Team Development * Provide leadership, mentoring, and technical guidance to GIS professionals and project teams. * Provide technical oversight and direction on complex or higher\-risk GIS tasks and projects * Drive continuous improvement of GIS delivery standards, processes, and technical capabilities. * Conduct technical reviews and ensure compliance with organizational quality standards. * Support capability development through technical training, coaching, and knowledge\-sharing initiatives. * Support the development of junior and intermediate GIS professionals through technical guidance and constructive review * Foster a culture of innovation, collaboration, and service excellence within the GCC\-AU Digital Services Team. * Design, develop, manage and maintain geospatial datasets, databases and GIS solutions appropriate to project requirements. * Perform spatial analysis, data validation, digitization, feature attribution, topological corrections, and data integration activities. * Capture and maintain infrastructure, utilities, environmental, land management, and operational datasets from imagery and multiple data sources. * Produce and oversee high\-quality maps, dashboards, web applications, reports, and spatial visualizations supporting business decision\-making. * Provide technical advice on spatial data structures, workflows, analysis methods and GIS solution design. * Ensure compliance with GIS standards, data governance policies, and quality management systems. * Develop and implement automated GIS workflows using Python, , Model Builder, FME, ArcGIS tools, and other digital or coding technologies would be a plus. * Identify opportunities for process optimization and service enhancement through automation. * Utilize advanced spatial analytics and location intelligence techniques to generate business insights. * Contribute to the adoption and implementation of GeoAI, machine learning, and AI\-driven geospatial solutions. * Evaluate emerging technologies and provide recommendations to improve business outcomes and operational efficiency. * Develop and implement automated GIS workflows using Python, , Model Builder, FME, ArcGIS tools, and other digital or coding technologies would be a plus. Infrastructure, Environment, Resources \& Asset Data Management * Support mining activities, asset management, infrastructure planning, environmental compliance, land access, disturbance footprint assessments, and operational GIS programs. * Perform geospatial assessments, asset register reviews, utility analysis, and data validation activities. * Deliver accurate spatial information products supporting operational and strategic decision\-making. * Ensure integrity, accuracy, and usability of geospatial information across the asset lifecycle. * Lead Quality Assurance and Quality Control (QA/QC) activities for GIS deliverables and spatial datasets. * Maintain compliance with organizational standards, governance frameworks, and quality management systems. * Develop and maintain technical documentation, workflows, standards, and procedures. * Promote continual improvement in geospatial service delivery and data quality. * Strong understanding of GIS data quality, governance, metadata and spatial data management principles. WSP is one of the world's leading professional services consulting firms. We are dedicated to our local communities and propelled by international brainpower. We are technical experts and strategic advisors including engineers, technicians, scientists, architects, planners, surveyors and environmental specialists, as well as other design, program and construction management professionals. We design lasting solutions in the Transportation \& Infrastructure, Property \& Buildings, Earth \& Environment, Power \& Energy, Resources and Industry sectors, as well as offering strategic advisory services. Our talented people around the globe engineer projects that will help societies grow for lifetimes to come. * Maximize collaboration. * Maintain product quality and cultural integrity. Balance community, collaboration, opportunity, productivity, and efficiency. * WSP does not accept unsolicited resumes from recruiters, employment agencies, or other staffing services. Unsolicited resumes include any resume or hiring document sent to WSP in the absence of a signed Service Agreement where WSP has expressly requested recruitment/staffing services specific to the position at hand. Any unsolicited resumes, including those submitted to hiring managers or other business leaders, will become the property of WSP and WSP will have the right to hire that candidate without reservation – no fee or other compensation will be owed or paid to the recruiter, employment agency, or other staffing service. Work Location: Mumbai, India Availability: Full time

Job Title: Principal Consultant GIS Company: WSP Job Category: Machine Learning Roles & Responsibilities: WSP India is currently looking for a talented Principal Consultant – GIS to contribute \& involve assisting with data management and mapping activities related to WSP AU projects systems. The position will be for BANGLORE/MUMBAI/NOIDA location . This is a hands\-on technical and delivery\-focused role. This position provides opportunities to contribute to advanced GIS, automation, digital and strategic initiatives. A significant component will involve day\-to\-day project delivery, including routine GIS activities and supporting the operational requirements of Australian project teams. * Build and maintain strong relationships with Australian business stakeholders to ensure effective communication, alignment on priorities, and successful project delivery. * Collaborate with multiple stakeholders across Australia and global GCC teams to manage work pipelines and ensure timely delivery of geospatial services. * Act as a trusted advisor for GIS, spatial analytics, and digital transformation initiatives. * Manage and prioritise GIS work pipelines, balancing project requirements, resource capacity, deadlines and technical complexity. * Take ownership of GIS delivery for assigned projects, including scope, programme, quality, risks and technical outcomes * Facilitate collaboration across regions to promote consistency, innovation, best practices, and knowledge sharing. * Provide regular status updates, identify delivery risks, and implement mitigation strategies. * Support business development activities, proposals, estimates, and technical solution development. Technical Leadership \& Team Development * Provide leadership, mentoring, and technical guidance to GIS professionals and project teams. * Provide technical oversight and direction on complex or higher\-risk GIS tasks and projects * Drive continuous improvement of GIS delivery standards, processes, and technical capabilities. * Conduct technical reviews and ensure compliance with organizational quality standards. * Support capability development through technical training, coaching, and knowledge\-sharing initiatives. * Support the development of junior and intermediate GIS professionals through technical guidance and constructive review * Foster a culture of innovation, collaboration, and service excellence within the GCC\-AU Digital Services Team. * Design, develop, manage and maintain geospatial datasets, databases and GIS solutions appropriate to project requirements. * Perform spatial analysis, data validation, digitization, feature attribution, topological corrections, and data integration activities. * Capture and maintain infrastructure, utilities, environmental, land management, and operational datasets from imagery and multiple data sources. * Produce and oversee high\-quality maps, dashboards, web applications, reports, and spatial visualizations supporting business decision\-making. * Provide technical advice on spatial data structures, workflows, analysis methods and GIS solution design. * Ensure compliance with GIS standards, data governance policies, and quality management systems. * Develop and implement automated GIS workflows using Python, , Model Builder, FME, ArcGIS tools, and other digital or coding technologies would be a plus. * Identify opportunities for process optimization and service enhancement through automation. * Utilize advanced spatial analytics and location intelligence techniques to generate business insights. * Contribute to the adoption and implementation of GeoAI, machine learning, and AI\-driven geospatial solutions. * Evaluate emerging technologies and provide recommendations to improve business outcomes and operational efficiency. * Develop and implement automated GIS workflows using Python, , Model Builder, FME, ArcGIS tools, and other digital or coding technologies would be a plus. Infrastructure, Environment, Resources \& Asset Data Management * Support mining activities, asset management, infrastructure planning, environmental compliance, land access, disturbance footprint assessments, and operational GIS programs. * Perform geospatial assessments, asset register reviews, utility analysis, and data validation activities. * Deliver accurate spatial information products supporting operational and strategic decision\-making. * Ensure integrity, accuracy, and usability of geospatial information across the asset lifecycle. * Lead Quality Assurance and Quality Control (QA/QC) activities for GIS deliverables and spatial datasets. * Maintain compliance with organizational standards, governance frameworks, and quality management systems. * Develop and maintain technical documentation, workflows, standards, and procedures. * Promote continual improvement in geospatial service delivery and data quality. * Strong understanding of GIS data quality, governance, metadata and spatial data management principles. WSP is one of the world's leading professional services consulting firms. We are dedicated to our local communities and propelled by international brainpower. We are technical experts and strategic advisors including engineers, technicians, scientists, architects, planners, surveyors and environmental specialists, as well as other design, program and construction management professionals. We design lasting solutions in the Transportation \& Infrastructure, Property \& Buildings, Earth \& Environment, Power \& Energy, Resources and Industry sectors, as well as offering strategic advisory services. Our talented people around the globe engineer projects that will help societies grow for lifetimes to come. * Maximize collaboration. * Maintain product quality and cultural integrity. Balance community, collaboration, opportunity, productivity, and efficiency. * WSP does not accept unsolicited resumes from recruiters, employment agencies, or other staffing services. Unsolicited resumes include any resume or hiring document sent to WSP in the absence of a signed Service Agreement where WSP has expressly requested recruitment/staffing services specific to the position at hand. Any unsolicited resumes, including those submitted to hiring managers or other business leaders, will become the property of WSP and WSP will have the right to hire that candidate without reservation – no fee or other compensation will be owed or paid to the recruiter, employment agency, or other staffing service. Work Location: Maharashtra, India Availability: Full time

Job Title: Assistant Vice President, Specialist Data Scientist, Transformation and Data Company: DBS Bank Job Category: Machine Learning Roles & Responsibilities: Business Function Group Operations enables and empowers the bank with an efficient, nimble, and resilient infrastructure through a strategic focus on productivity, quality \& control, technology, people capability and innovation. In Group Operations, we manage the majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels. As an Operations Department, we embrace and reinforce the strong PRIDE! culture that is built up in DBS. This is done through strategic focus on training and improving staff capability, empowerment, productivity, teamwork, innovation \& technology, managing operational risks \& strongly collaborating with our business partners in delivering excellent RED service to our customers. Responsibilities * Collaborate with business units across DBS to identify opportunities where data science and machine learning can drive business value and optimize banking processes. * Design, build, and deploy robust machine learning models, focusing on end\-to\-end model development from data ingestion to production. * Lead the development and execution of Generative AI (GenAI) Proof of Concept (POC) initiatives, evaluating their feasibility, performance, and alignment with business goals. * Perform complex data analysis, feature engineering, and statistical modeling to extract actionable insights from large\-scale banking datasets. * Establish evaluation frameworks and metrics to monitor, validate, and continuously improve the performance of deployed models and GenAI solutions. * Partner with data engineers and IT teams to integrate data science models into scalable, secure production environments. Work Location: Mumbai, Maharashtra, India Availability: Full time

Job Title: Senior Machine Learning Engineer Company: Talent et au-dela Job Category: Machine Learning Roles & Responsibilities: As a Senior Machine Learning Engineer, AI \& ML — Data Collection , you will play a critical role in building and scaling the company’s Unified AI/ML Data Collection Platform, enabling standardized, reliable, and scalable machine learning capabilities across the organization. This role will focus on transforming existing AI/ML and LLM\-driven data systems into a cohesive platform that supports data pipelines, model lifecycle management, evaluation frameworks, and production deployment. This position requires deep hands\-on expertise in machine learning engineering, LLM\-based systems, ML platform development, and MLOps. You will work closely with ML engineers, product managers, researchers, and business stakeholders to deliver production\-ready AI/ML systems aligned with broader business objectives and AI/ML strategy. You will be deeply involved in the design, development, and operationalization of platform components, including data ingestion, feature management, model training and evaluation, scalable inference systems, and model observability capabilities. You will help ensure that AI/ML systems are production\-ready, observable, maintainable, and cost\-efficient, with a strong emphasis on reliability, performance, governance, and developer productivity. You will leverage your expertise in areas such as large language models (LLM), retrieval\-augmented generation (RAG), embeddings, vector databases, distributed systems, cloud\-native architectures, and ML Operations (MLOps). You will contribute to the end\-to\-end lifecycle of ML systems, from experimentation and prototyping to deployment, monitoring, optimization, and continuous improvement while mentoring engineers and promoting strong engineering practices across the team. You will be part of a multidisciplinary team of ML engineers responsible for building and maintaining the Unified AI/ML Data Collection Platform. The team focuses on developing scalable systems that support data pipelines, model lifecycle management, LLM\-based workflows, and evaluation frameworks, enabling downstream teams to build and deploy AI\-driven data collection solutions. Outline of Duties and Responsibilities * AI\-Powered Data Collection Systems: Design and develop scalable AI\-driven data collection and enrichment workflows across structured and unstructured data sources. * LLM \& Generative AI Workflows: Build LLM\-based capabilities including RAG systems, prompt orchestration, entity extraction, summarization, classification, and automated validation workflows. * Agentic Frameworks \& Model Context Integration: Design and implement agentic workflows and model\-to\-tool integrations that connect AI models with internal tools, APIs, knowledge stores, data sources, and workflow systems. * Model Deployment \& Lifecycle Management: Deploy, maintain, and optimize ML and LLM models in production, including model versioning, CI/CD, experiment tracking, model registry, rollout strategies, and rollback mechanisms. * Data Quality \& Evaluation: Build frameworks for evaluating extraction quality, model performance, hallucination risks, grounding, consistency, latency, coverage, and overall data reliability. * Observability \& Operational Excellence: Implement monitoring, logging, tracing, alerting, cost tracking, model performance monitoring, drift detection, and reliability dashboards for production AI/ML systems. * Scalable Platform Engineering: Design distributed, event\-driven, and cloud\-native systems using asynchronous processing, message queues, containerization, and orchestration patterns to support high\-volume workloads. * Innovation \& Continuous Improvement: Evaluate emerging AI/ML technologies, LLM frameworks, orchestration tools, vector databases, and model deployment approaches to improve automation capabilities and developer productivity. * Company Values: Model company values and contribute to a culture of innovation, accountability, collaboration, inclusion, and continuous improvement. Work Location: Navi Mumbai, Maharashtra, India Availability: Full time

Job Title: Applied AI and Data Science Specialist - Global Research Modernization Company: JPMorganChase Job Category: Machine Learning Roles & Responsibilities: Job Description Join J.P. Morgan's Global Research Center and help modernize research through applied AI, machine learning and data science, delivering innovative solutions that enhance research methodologies, workflows and outputs. As an Applied AI and Data Science Specialist within the Global Research Modernization team , you will be responsible for developing and implementing AI and data science solutions that enhance research methodologies and outputs. You will translate business problems into deployable data science solutions using Python, machine learning and Large Language Models (LLMs). You will collaborate with research analysts and stakeholders to identify opportunities for data\-driven insights and workflow automation. You will support solutions from data exploration and model development through validation and deployment. You will ensure solutions adhere to appropriate data integrity, regulatory and model governance standards. Job Responsibilities * Develop applied data science solutions using Python, from problem framing and data exploration through model development, validation and deployment. * Implement AI and data science strategies to enhance research methodologies and outputs. * Automate workflows for global research teams using AI techniques, including Large Language Models (LLMs). * Collaborate with research analysts and stakeholders to identify opportunities for data\-driven insights and automation. * Ensure the integrity, accuracy and accessibility of data used for analysis and model development. * Evaluate emerging AI and data science technologies for potential application within research. * Communicate analytical concepts, model outputs and insights effectively to stakeholders. * Adhere to regulatory, ethical, data\-use and model governance standards. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. About The Team J.P. Morgan's Commercial \& Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial \& Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Work Location: Mumbai, Maharashtra, India Availability: Full time