Top Machine Learning Jobs in India

Lead automation and analytics for internal audit: design Power BI dashboards, data analytics, and AI/RPA pilots to enhance SOX testing, control validation, anomaly detection, and continuous monitoring. Liaise with IT, business, and external auditors; coach team members; support remediation and audit transformation.

Own data quality and root-cause analysis for prediction issues: detect anomalies, trace sources, fix processes, automate QA/reporting with Python and SQL, maintain dashboards, and partner with Data Science, Engineering, Product, and Commercial teams to improve prediction performance and customer-facing analytics.

Lead design, build, and operation of data architecture, pipelines, and semantic layers. Manage sprint planning, DevOps metrics, data quality and monitoring, and MLOps enablement. Partner with stakeholders, coach engineers, track project plans, and ensure data availability, accuracy, and documentation.

Lead multi-stream data and AI projects, own project plans, budgets and risks, run governance meetings, coordinate Architects/Data Engineers/AI teams, apply Snap's delivery methodology, manage senior stakeholders, and oversee multiple concurrent client engagements to ensure timely delivery and client satisfaction.

Lead and manage a KYC operations team to deliver AML monitoring, onboarding, refresh processes, quality reviews, MIS reporting, and process improvements while liaising with Compliance and senior stakeholders to ensure regulatory adherence.

Develop, validate, optimize, and productionize machine learning models and predictive analytics solutions using Python, SQL, Databricks, and Microsoft Fabric. Responsibilities include data processing, feature engineering, statistical experimentation, model monitoring, workflow automation, agentic solution development, and technical documentation. The role partners with data scientists and regional stakeholders, communicates insights clearly, supports platform operations, and contributes to reliable end-to-end deployment across APAC.

Design, deploy, and monitor auditable ML/AI models for financial‑crime detection; analyze large datasets, validate and improve data quality and rules, build dashboards and reporting, support model governance and regulatory compliance, and translate findings into business actions.

Own platform expertise for Accelerate by running live campaigns across major walled gardens, validating product features, translating agency workflows into product requirements, and guiding engineering on platform behaviors and automation.

Lead technical ownership of a production media-screening ML platform on AWS. Hands-on work designing, building, evaluating and shipping classical ML and LLM/GenAI models and services, owning reliability, cost, MLOps, roadmap and delivery, and partnering with product and external stakeholders to expand platform capabilities.

Lead AI/ML solution engineering for strategic healthcare accounts: drive architecture and reusable patterns, mentor solution leads, align productization and delivery, own pipeline and opportunity governance, engage executives, and shape AI-native standards and go-to-market pursuits.

Lead AI/ML strategy and delivery for healthcare and life sciences: oversee multiple client engagements, design scalable production-grade ML solutions, drive adoption of advanced AI (NLP, deep learning, LLMs, CV), ensure regulatory readiness, and act as executive sponsor for client relationships and portfolio growth.

Lead enterprise AI strategy, client executive engagement, and commercial growth; build and run a global AI engineering organization; drive Agentic AI, LLMs, cloud-native platform delivery, governance, and responsible deployment across healthcare and life sciences.

The role involves conducting AI research, teaching AI-related courses, collaborating on healthcare data modeling, and securing external funding, while mentoring students.

The Postdoctoral Research Associate will lead research in structural health monitoring of transportation infrastructure, manage research activities, analyze data, and support proposal writing and public engagement events.

Lead and grow the India engineering organization while remaining hands-on: participate in architecture and code reviews, mentor engineers, hire senior talent, and drive technical excellence across AI, data, and platform systems to build scalable, production analytics products.

ValGenesis is hiring software engineers at all levels, focusing on collaboration and innovation. Roles require 2 to 12 years of experience across various engineering disciplines.

Sisu is looking for a CTO co-founder with deep technical expertise in software architecture, product development, or machine learning to help build a startup from the ground up.

This role involves leading the development of AI systems to replace lab toxicity experiments, focusing on end-to-end ML architecture, research on chemistry-biology correlations, and building innovative models. Candidates should have strong ML skills, engineering abilities in Pytorch and Python, and a passion for both science and technology.

The Senior Business Analyst will analyze and solve complex problems in the Insurance industry, lead project teams, gather requirements, and develop innovative solutions using advanced analytics and machine learning.

Lead customer engagements to develop and deploy digital implementation methodologies from RTL-to-GDSII. Troubleshoot complex tool and flow issues, evangelize new technologies, mentor AEs, collaborate with product and sales teams, and implement ML-based solutions to improve productivity and PPA.

The Director of Data Science will lead the development of AI systems, manage a team, and drive knowledge sharing while ensuring project alignment with business goals.

Sell and position the FICO Platform to enterprise clients in consumer lending and retail banking. Build senior stakeholder relationships, uncover decision-management opportunities, collaborate with pre-sales and internal teams to design solutions, and drive long-term, profitable customer engagements. Manage quarterly and annual sales targets and travel up to 50% to engage customers across Southeast Asia and adjacent industries (fintech, telecom, media, entertainment).

The Senior Data Analyst will leverage data to inform strategic decisions, analyze complex datasets, develop predictive models, and communicate insights to stakeholders.

The Forward Deployed Engineer is responsible for designing, developing, and deploying agent-based AI solutions using the Workato platform, collaborating with cross-functional teams and ensuring efficient AI workflows for enhanced IT operations.

Lead AI/ML initiatives as an individual contributor: design and implement ML solutions, develop and maintain code, define architecture, guide data infrastructure, and collaborate with cross-functional teams to solve business problems.