Top Machine Learning Engineer Jobs in Mumbai

Leads quantitative analysts in developing and launching benchmark, thematic, factor, strategic beta, and multi-asset indexes. Owns the full index lifecycle, including opportunity identification, signal testing, back-testing, methodology design, risk analytics, and launch. Champions AI-enabled research automation, mentors team members, collaborates across research groups, and develops analytical tools, white papers, and client-ready materials.

Develops innovative investment indexes from ideation through launch, conducting quantitative research, portfolio construction, validation, and analytics. Collaborates with research and product teams, applies statistical and machine learning techniques, and creates white papers, factsheets, presentations, and client materials. The role requires strong investment knowledge, programming and SQL proficiency, communication skills, and experience in quantitative finance or related analytical fields.

Performs risk assessments, control testing, regulatory reporting quality reviews, remediation tracking, root-cause analysis, and process improvements for payments operations. Monitors reporting accuracy, completeness, timeliness, and control adherence while synthesizing leadership insights. Leads change initiatives and uses AI and machine learning for anomaly detection, data validation, and workflow analysis. Partners with global teams to strengthen regulatory compliance and reporting standards.

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.

Develop and deploy Python-based AI and data science solutions for global research modernization. Responsibilities include machine learning model development, validation, workflow automation using LLMs, data exploration, stakeholder collaboration, data governance, and communicating analytical insights. The role supports solutions from problem framing through production deployment while ensuring regulatory, ethical, and model governance compliance.

Develop and monitor quantitative wholesale credit risk models for stress testing, capital planning, risk appetite, and loan loss reserves. Responsibilities include statistical and econometric modeling, machine learning, panel-data analysis, back-testing, model governance, data pipeline collaboration, documentation, and regulatory reporting.

Leads AI transformation, governance, quality oversight, risk management, and responsible adoption across Pfizer Global Supply and QSEO. Establishes GxP-compliant AI lifecycle practices, inspection-readiness frameworks, governance forums, portfolio monitoring, inventory management, metrics, and reporting. Advises senior leaders on AI regulations, deployment risks, investment priorities, and compliance while leading cross-functional initiatives and influencing stakeholders across Quality, Digital, Operations, and R&D.

Leads regional order-to-cash product integration across order capture, fulfillment, billing, collections, cash application, and customer care. Owns business requirements, portfolio visibility, governance, BPO performance, digital adoption, and value realization. Establishes a regional community of practice, aligns requirements with enterprise roadmaps, tracks Celonis KPIs, and holds product and operations leaders accountable. Requires strong OTC, SAP, Celonis, portfolio governance, financial, analytical, and executive stakeholder-management expertise.

Leads engineering and data science teams building AI/ML data collection systems for large-scale unstructured data. Provides technical direction across NLP, classifiers, LLMs, MLOps, data pipelines, cloud platforms, security, and system operationalization. Responsibilities include mentoring and hiring talent, overseeing scalable model and pipeline development, collaborating cross-functionally, improving delivery processes, and ensuring reliable, secure, high-performance solutions.

Lead the design, configuration, customization, testing, and delivery of Oracle PCMCS applications and AI-enabled enterprise solutions. Gather requirements, translate business needs into technical specifications, integrate GenAI and Agentic AI capabilities, troubleshoot issues, guide stakeholders, contribute to project delivery, facilitate knowledge sharing, and mentor junior team members.

Monitor global wholesale credit portfolios, identify emerging risks and concentrations, and develop forward-looking indicators for senior risk decisions. Automate portfolio monitoring and reporting using advanced analytics, visualization, and AI concepts. Maintain governance documentation, execute control testing, track remediation, and communicate concise findings to global Credit Officers, Product Managers, and Risk Managers.

Supports Citi’s KYC and AML compliance program by creating, validating, updating, and completing KYC records. Researches company and regulatory information, verifies ownership and management documentation, monitors workflow metrics, meets service-level targets, and escalates discrepancies, negative news, and high-risk cases. The role also coordinates with relationship management, compliance, and control teams, provides operational reporting, and assists with departmental projects.

Reviews trade surveillance alerts across equities, derivatives, fixed income, and commodities to identify regulatory or policy breaches. Investigates and documents escalated alerts, supports control design and optimization, prepares management information, develops surveillance metrics, and assists with regulatory inquiries, audits, testing, and technology enhancements. Collaborates with Compliance, Operations, Technology, Risk, vendors, and front-office teams across regions.

Supports Citi’s internal Know Your Client program by creating, validating, updating, and completing KYC records and documentation. Researches company and regulatory information, monitors workflow progress, meets review targets and service-level agreements, reports operational metrics, and escalates discrepancies, negative news, and high-risk cases to compliance teams. The role also assists with departmental projects and applies AML/KYC controls, regulatory requirements, and risk assessment practices.

Supports Citi’s internal KYC program by creating, validating, updating, and completing KYC records using internal and external research. Coordinates with relationship management, compliance, and control teams; monitors workflow status and operational metrics; meets review targets and service-level deadlines; escalates discrepancies, negative news, and high-risk cases; and contributes to reporting and departmental projects.

Support KYC program operations by creating and validating KYC records, sourcing internal/external data, keeping workflow tools current, meeting SLA targets, escalating high-risk findings, and assisting compliance reporting and projects.

Supports Citi’s AML and KYC compliance operations by creating, validating, and completing KYC records; researching company and regulatory information; maintaining workflow systems; tracking metrics; escalating discrepancies and high-risk cases; and reporting progress to supervisors. The role also assists with regulatory requirements, documentation, departmental projects, and process improvement using AI concepts.

Build reusable geospatial AI components including embeddings, similarity search, retrieval, feature engineering, and agentic pipeline modules. Process imagery, map, sensor, and traffic data; support foundation-model training, evaluation, and fine-tuning; and deliver tested, documented components to MLOps for production serving. The role requires strong Python and software engineering fundamentals, deep learning experience, retrieval-system knowledge, and familiarity with high-volume spatial data.

Seeking a Vice President to develop Machine Learning models and Gen AI use cases in Wealth Management, supporting business lines with predictive analytics and operational model management.

Build and scale machine learning systems for search, including ranking models, feature engineering, model deployment, monitoring, experimentation, and online inference. Design fault-tolerant distributed infrastructure, optimize search latency and throughput, and develop reliable ML services from proof of concept through production. Collaborate across engineering and product teams, communicate technical decisions, review code, document systems, and mentor junior engineers.

Leads technical integration projects by gathering business requirements, translating them into product and engineering deliverables, prioritizing features, and coordinating sprint execution. Manages timelines, quality, risks, dependencies, and delivery visibility across engineering, product, and business teams. Requires knowledge of data platforms, ETL, streaming, databases, cloud technologies, automation, AI, and workflow orchestration, along with strong communication, leadership, and delegation skills.

Leads AI/ML strategy, technical vision, and delivery of scalable machine learning platforms for map editing and maintenance. Drives generative AI, agentic AI, computer vision, LLM, automation, MLOps, governance, observability, security, and responsible AI adoption. Mentors data scientists, leads multidisciplinary initiatives, translates business needs into measurable solutions, and influences executives, customers, vendors, and partners.

Develop statistical, machine learning, causal inference, attribution, forecasting, and optimization models to measure marketing effectiveness and improve omnichannel investment decisions. Partner with marketing, sales, finance, agencies, and technology teams to define analytical problems, build scalable production-ready solutions, conduct A/B tests, communicate insights, and improve model performance. The role also supports promotional optimization, vendor evaluation, data integration, and adoption of analytical tools and processes.

Designs and presents AI, GenAI, cloud, and infrastructure solutions for enterprise customers. Leads technical discovery sessions, workshops, demonstrations, architecture discussions, and proof-of-concept engagements. Advises on LLM applications, RAG workflows, MLOps, GPU workloads, Kubernetes, networking, and hybrid cloud architectures. Collaborates with sales, engineering, and product teams on proposals, RFPs, customer requirements, and roadmap feedback while acting as a trusted technical advisor.

Provides legal counsel on contract drafting, negotiation, interpretation, risk assessment, and dispute resolution across JLL entities in India, Sri Lanka, and Bangladesh. Advises on labor and employment law, compliance incidents, legal risks, data privacy, anti-bribery, cybersecurity, AI governance, and corporate matters. Conducts legal research, monitors contracts, maintains legal incident records, and supports stakeholders with compliance and risk-management guidance.