Top Machine Learning Engineer Jobs in Mumbai

Leads agile software engineering initiatives for JPMorganChase’s Commercial and Investment Bank. Provides technical guidance, develops and reviews secure production code, drives AI-assisted engineering practices, improves SDLC automation, and influences application design and technical operations. Serves as a subject-matter expert, promotes engineering standards, and delivers stable, scalable technology solutions using Java and cloud-native technologies.

Analyzes US credit markets, sectors, issuers, earnings, macroeconomic developments, valuations, spreads, and capital structures. Builds financial, econometric, and quantitative models; manages large datasets using Python and related tools; produces research notes, charts, and client-ready presentations. Supports strategy discussions, market positioning, investor communications, automation, and recurring publications while collaborating with strategists, economists, and global research teams.

Leads software engineering delivery within an agile team, designing, developing, testing, debugging, and supporting secure, scalable applications. Establishes effective and responsible AI-assisted engineering practices, including code generation, review, testing, troubleshooting, and validation. Automates recurring remediation, improves operational stability, evaluates vendor and startup technologies, and contributes to AWS web application development, Java engineering, cloud deployments, DevOps, and machine learning or LLM integrations.

Leads Pfizer’s India Integrated Insights & Strategy function, advising commercial executives through analytics, market research, forecasting, and data-driven brand and portfolio strategy. Owns the analytics roadmap, budget, performance measurement, PMR strategy, vendor partnerships, and resource allocation. Oversees advanced analytics, AI/ML, customer segmentation, targeting, field-force sizing, and launch planning while developing a high-performing team and coordinating with regional and global GCA stakeholders.

Develops and integrates radiating components and passive radiation-pattern structures for multiband base-station antennas. Responsibilities include 3D and 2D electromagnetic simulation, prototype RF measurements, performance optimization, troubleshooting, technical documentation, and supporting the product lifecycle through mass production. The role collaborates with international cross-functional teams and requires relocation to Rosenheim, Germany.

Manages end-to-end trade processing, including order entry, execution, settlement, asset and cash monitoring, and operational controls. Leads a diverse team, applies automation and data analysis to improve trading systems, identifies risks and trends, and communicates insights to senior stakeholders. Drives continuous improvement, innovation, and strategic alignment across trading services operations.

Sell SailPoint's IGA identity security SaaS to $5B+ enterprises by engaging C-level stakeholders, managing long sales cycles with POCs/RFPs, collaborating with GSIs and channel partners, developing account and opportunity plans, and meeting quota using Challenger methodology.

Leads advanced data science and machine learning initiatives for global-scale digital map-making. Defines technical direction, develops predictive and statistical models, applies AI technologies, and drives deployment across scalable big data environments. Provides technical leadership for complex projects, collaborates with engineering and architecture teams, explains predictive solutions to executives, and mentors data scientists and engineers.

Analyze product, customer, and business data to identify trends, risks, and opportunities. Build dashboards, metrics, reports, analytics solutions, and predictive models while supporting data pipelines and AI-powered automation. Partner with Product Managers, Engineers, customers, and business stakeholders to define requirements, improve workflows, validate product ideas, and measure outcomes. Own initiatives from problem identification through delivery while developing expertise in product management, data engineering, AI, and enterprise financial technology.

Supports settlement risk management across payment clearing and settlement activities. Responsibilities include monitoring credit, liquidity, operational, concentration, and participant default risks; assessing exposures, limits, collateral, and breaches; developing risk policies, dashboards, reports, and governance materials; supporting stress testing and control assessments; tracking remediation actions; and providing independent oversight and challenge to risk owners. The role also analyzes risk data, supports GRC tool implementation, monitors regulatory developments, and contributes to AI-enabled risk monitoring.

Build and own scalable AI and Generative AI platforms using Python, microservices, cloud infrastructure, and machine learning models. Design backend architecture, deploy and optimize ML systems, manage Kubernetes and Terraform-based infrastructure, maintain databases and observability platforms, and lead production reliability practices. The role also involves technical leadership, mentoring, architecture decisions, incident response, and translating client requirements into robust technical solutions.

Develop and deploy production-ready AI and machine learning applications using cloud AI services, generative AI, deep learning, neural networks, conversational AI, and image processing. Lead technical decisions, coordinate cross-functional integration, mentor team members, evaluate emerging technologies, and ensure scalable, reliable solutions aligned with project goals.

Own enterprise sales and market development for Anthropic’s AI solutions across India’s banking, financial services, and insurance sector. Build executive relationships, navigate regulated procurement and compliance requirements, close complex multi-year deals, develop BFSI go-to-market strategies, and expand lighthouse accounts. Partner with system integrators, legal, compliance, product, and global teams to support scalable deployments and localized AI capabilities.

Leads software product development projects and advanced analytics, machine learning, and technology solution delivery. Responsibilities include gathering requirements, defining problems, creating user stories, managing project teams and client expectations, preparing technical documentation, applying Agile and Scrum methodologies, identifying risks, consulting clients, and developing creative solutions and presentations.

Lead design and implementation of ML tools for scenario classification, anomaly detection, sensor data quality, behavior analytics, and automated reporting. Build scalable pipelines and automated data curation for camera, radar, and LiDAR; create SIL/HIL replay interfaces, ground-truthing and annotation tools, and offline benchmarking. Integrate ML modules into simulation, HIL/SIL, and CI/CD ecosystems, implement reproducible workflows (Docker, CI/CD, artifact versioning, automated tests), monitor model/data quality and mentor junior engineers while collaborating with verification and perception teams.

Supports business intelligence projects involving SQL, Python, data analysis, ETL, data migration, reporting, dashboards, forecasting, and basic machine learning. The intern collaborates with BI, data engineering, product, and other teams to prepare data, generate insights, document work, and support business requirements while gaining hands-on experience with real business data.

Performs KYC record creation, validation, documentation, workflow tracking, AML escalation, negative-news research, regulatory compliance checks, and management reporting. Coordinates with relationship management and compliance teams, maintains accurate records, meets service-level targets, identifies discrepancies and high-risk cases, and supports departmental projects.

Supports Citi’s KYC and AML compliance program by creating, validating, updating, and completing KYC records. Reviews corporate and regulatory information, verifies ownership and management details, tracks workflow progress, meets service-level targets, escalates discrepancies and high-risk cases, maintains operational records, and reports metrics and issues to management. The role also assists with departmental projects and applies regulatory and internal policy requirements.

Supports Citi’s internal KYC program by creating, researching, validating, updating, and completing KYC records. Reviews entity ownership, management, formation documents, company news, and regulatory information; ensures compliance with local and global standards; tracks workflow status and operational metrics; meets service-level targets; escalates discrepancies, negative news, and high-risk cases; and communicates progress, issues, and reporting updates to supervisors and compliance teams.

Lead enterprise AI transformation engagements through technical discovery, demonstrations, pilots, workshops, solution architecture, and adoption planning. Drive technical wins and pipeline for Microsoft 365 Copilot, Copilot Studio, Agents, and related Microsoft solutions. Translate business needs into secure, scalable architectures, remove technical blockers, support partner co-selling, maintain opportunity hygiene, and mentor engineers while influencing product and go-to-market strategy.

Analyze pricing, market, customer, and performance data to identify revenue opportunities and optimize pricing strategies. Build automated dashboards and analytical tools using large datasets across Databricks, BigQuery, and Looker. Apply regression, elasticity modeling, forecasting, machine learning, and scenario analysis to generate actionable pricing recommendations. Improve workflows, ensure data quality, train stakeholders, and influence commercial decisions across regions.

Develop and fine-tune machine learning, NLP, and deep learning models using Python and major ML frameworks. Work with transformer architectures and proprietary enterprise data, process documents using OCR and PDF parsing tools, and conduct rigorous model evaluation, statistical sampling, and error analysis.

Lead presales Solution Architect for UiPath Intelligent Automation. Run discovery workshops, design scalable enterprise automation, deliver demos/PoCs, produce technical proposals, define governance and integrations, and mentor teams while driving CoE and adoption.

Leads advanced analytics, KPI governance, process mapping, and digital transformation across global procurement, supply chain, fulfillment, logistics, manufacturing, and commercial operations. Develops dashboards, predictive analyses, SAP-based reporting, and actionable insights to improve inventory, fulfillment, supplier performance, forecasting, and customer service. Partners with global stakeholders on process standardization, technology adoption, change management, and continuous improvement initiatives.

Lead and grow an ML engineering team to design, build, and operate a unified AI/ML data collection platform. Own data ingestion, feature management, LLM/RAG workflows, model lifecycle, evaluation, observability, scalability, governance, and cross-functional alignment while mentoring engineers and driving platform reliability and operational excellence.