Top Machine Learning Jobs in India

Python developer role at KPMG India requiring BTech and exposure to AI/ML concepts. Work involves building Python-based solutions and applying AI/ML ideas to client engagements within KPMG's India offices.

Analyze large-scale on-chain data to detect anomalous transactions, develop detection mechanisms and risk monitoring frameworks, apply supervised and unsupervised ML, identify malicious accounts via community-discovery algorithms, and design integrated on-chain/off-chain prevention and control systems.

Lead enterprise data security architecture to protect sensitive data across its lifecycle. Define strategies for encryption, key management, tokenization, masking, DLP, classification, database security, and Zero Trust. Advise execs and engineering on secure design patterns for data platforms (e.g., Starburst), cloud/on-prem systems, APIs, data pipelines, and AI/ML workloads. Develop roadmaps, evaluate technologies, mentor staff, and drive secure-by-design adoption across the organization.

Lead design and implementation of AI/ML solutions for Identity and Access Management, including risk scoring, anomaly detection, automation of provisioning/deprovisioning, and integration with IGA/PAM. Collaborate with architects, engineers, and stakeholders to ensure secure, explainable, and operational AI-driven access controls and monitoring.

Lead Information Security function as Data Protection Officer and CISO for a greenfield health-insurance JV. Develop security strategy, risk assessments, policies, incident response, monitoring, vendor risk, compliance with IRDAI, and security awareness. Advise senior leadership on privacy, data protection, cloud, AI/ML risks, and regulatory application to new products.

Lead and manage ISOC operations including real-time monitoring, incident response, threat intelligence, technology integration (AI/ML), stakeholder coordination, compliance, training, and vendor supervision to protect critical site assets.

Lead and hands-on build a Data & AI engineering team to design, architect, and ship AI-driven security features. Partner with Product, UX, and core security teams to turn telemetry into production-ready AI experiences while ensuring model guardrails, security, and compliance.

Serve as a ship-management SME on the ERP project: evaluate MariApps PALng against user stories, join UAT, recommend process improvements and automation/AI opportunities, score applications for usability, and help define process flows for the future Ship Management Application.

Design, build, and optimize personalized recommendation models. Analyze user behavior and purchase patterns to generate insights. Deploy and monitor models in production, iterating on algorithms to improve engagement, retention, and conversion.

Design and build machine learning systems for Coinbase, responsibly use generative AI tools and copilots, apply human-in-the-loop practices, and deliver measurable efficiency, cost, and quality improvements while collaborating in a remote-first environment with periodic in-person surges.

Lead product management for data & analytics solutions in Supply Chain Management, translating business needs into actionable solution designs and coordinating implementation across teams.

Lead engineering projects, automation and digitization, new product qualification, and machine/process reliability. Manage budgets, timelines, root-cause troubleshooting, maintenance strategy, and integration of advanced manufacturing technologies. Mentor and develop engineering team, ensure safety and compliance, and coordinate with regional/global stakeholders to drive productivity and operational excellence.

Lead Lenskart's global marketing engine: own brand strategy, AI-powered growth, performance marketing, content/creative operations, social and influencer ecosystems, and build a high-performing, AI-fluent marketing organization accountable for revenue and brand metrics.

Lead end-to-end enterprise platform implementations, map complex financial processes, ensure data health and governance, apply data analytics and AI/ML to surface insights, deliver dashboards and executive recommendations, and act as the primary technical owner for customer success and value realization.

Design, develop, and maintain scalable Python-based automation test frameworks and tools for automotive infotainment. Integrate GenAI and ML to enhance test coverage, implement CI/CD for cloud testing, create reusable test components, analyze test results, collaborate with dev/QA/DevOps, and drive continuous improvement in automation processes.

Serve as the primary client contact and lead discovery, translate requirements, and oversee end-to-end delivery of ML, software, and data analytics professional services. Define scope, manage budgets and resources, mitigate risks, ensure reporting, and collaborate with architects and talent teams to match skills to client needs.

Design, build, and deploy scalable Generative AI, Agentic AI, ML, and RAG-based solutions using Python and AWS. Implement agent frameworks (LangChain, LangGraph, AutoGen, etc.), vector DBs and embeddings, prompt engineering, model orchestration, evaluation, monitoring, and cloud-native deployment. Lead technical design, optimize back-end/data integration, ensure security and governance, and collaborate with stakeholders while mentoring teams.

Support accounting and external reporting by building and maintaining automation for data extraction, transformation, and validation; analyze large datasets for reporting anomalies; document automated processes; explore GenAI tools; collaborate with finance teams; assist projects and SOP preparation while ensuring adherence to financial policies.

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.

Entry-level KYC Operations Analyst assisting AML monitoring, KYC record creation and validation, interacting with relationship and compliance teams, maintaining workflow tools, meeting daily targets, escalating high-risk cases, and supporting reporting and departmental projects.

Lead cross-functional teams to define and execute product strategy for the Service (Fixed Ops) portfolio. Ship AI-native agents and ML-powered features, partner with Data Science and Engineering to productionize trustworthy AI, own KPIs and commercial cases (pricing, packaging, ARR), improve the PDLC across scheduling, repair orders, warranty, invoicing and customer communication, and manage and mentor a team of product managers.

Lead execution of post-sales product initiatives: roadmap planning, discovery, PRDs, AI/workflow automation, engineering collaboration, KPI dashboards, stakeholder alignment, launch enablement, and platform/backlog management.

Design, deliver, and operationalize LLM- and generative AI-driven platform services. Build scalable model-serving, orchestration, MLOps, observability, data lineage, and evaluation frameworks to productionize multi-step automated workflows.

Lead healthcare BPO transformation by designing roadmaps, assessing operations, implementing automation (RPA/AI/ML), driving value realization, and managing cross-functional teams to improve cost, quality, and compliance.

Lead strategic transformation for healthcare BPO clients by designing roadmaps, driving discovery and due diligence, implementing automation and process redesign, quantifying ROI, and delivering measurable efficiency, quality, and cost improvements across revenue cycle, claims, and member services.