Top Machine Learning Jobs in India

Design and develop analog integrated circuits, utilizing AI/ML tools. Collaborate with teams, conduct simulations, and drive innovation in circuit design.

As a Data Scientist - 3, you'll define and execute the data science roadmap, develop scalable ML models, mentor teammates, and collaborate with cross-functional teams.

As a Customer Support Engineer, you will resolve customer technical issues, perform installations, upgrade systems, and support field services while maintaining customer relationships.

The Principal Software Engineer will define architectural strategy, solve complex technical challenges, mentor teams, and guide future platform development at Loop AI.

Lead strategic analytics and product delivery efforts: define business strategies, build and execute requirements, oversee multiple projects, partner cross-functionally, develop analytic/ML-driven solutions, and communicate findings to senior leadership to drive growth and operational improvements.

The Senior Process Manager will manage client relationships, provide strategic guidance, oversee delivery teams, drive business development, and lead cross-functional collaboration.

The Data Operations Analyst develops custom product attribution based on client needs, utilizing tagging and machine learning; ensuring data mapping accuracy and project delivery.

As a Senior Machine Learning Engineer, you'll design, evaluate, and implement models for data analytics using AWS services while collaborating cross-functionally and ensuring alignment with business needs.

Lead key client accounts for FICO, focusing on strategic partnerships, complex deal structuring, and driving business growth through tailored solutions.

One-year, full-time fellowship supporting design, delivery, and evaluation of interventions for smallholder farmers. Duties include research and analysis, pilot design, field implementation, M&E, and cross-team collaboration with heavy mentorship and rotating in-country placements.

Research and develop domain-specific LLMs and generative models for materials science: pretraining, fine-tuning, alignment (e.g., RLHF), evaluation, dataset curation, and benchmark creation. Collaborate with scientists and engineers to apply generative AI to discovery and hardware design, publish research, and mentor junior team members.

Develop automation scripts, internal support tools, data pipelines, and AI/ML solutions for Technical Support. Collaborate with Support, Quality, and Engineering teams to troubleshoot medical communication products, analyze customer logs, eliminate manual processes, and deliver scalable enterprise solutions. Responsibilities include designing, building, documenting, testing, and supporting tools while following software engineering, Agile, version-control, and code-review best practices.

Lead and mentor a strategy technology team to design, implement, test and deploy quantitative trading systems (including C++ auto-traders) for Indian and APAC exchanges. Partner with traders and researchers, own technical architecture and delivery, drive engineering best practices, monitoring, and cross‑office collaboration to expand Optiver's systematic trading capability.

Lead design and implementation of a modern verification and CI/CD platform, modernize pipelines with AI/ML-driven risk prediction, integrate automated security and compliance, own release automation, mentor engineers, collaborate cross-team, write design docs, and participate in on-call incident response.

Design and maintain enterprise IT and data architecture focused on data governance, MDM, metadata/catalog, and data quality. Lead technical design, implement MDM and metadata solutions, enable AI-driven automation, collaborate with stakeholders, mentor architects, and recommend technologies to improve data discoverability, reliability, and business value.

Provide 24x7 cloud infrastructure support for public/private cloud services (AWS), monitor availability, manage incidents to meet SLAs, assist production deployments, ensure security/compliance for fintech, and evangelize technical concepts across teams.

Lead an 8-10 engineer team owning courier systems (dispatch, matching, pricing, ETA). Set technical direction, drive data-driven decisions and experiments, partner with data science, ensure reliability and scalability of low-latency distributed systems, and own hiring, performance, and operational excellence.

Oneture Technologies is seeking technology professionals across various skill areas including Software Engineering, Frontend & Full Stack, Data & AI/ML, and Cloud & DevOps to help build digital solutions.

The Data Engineer will develop and maintain data-crawling infrastructure, work with teams to gather requirements, write efficient code, and mentor juniors.

Perform satellite image classification and time-series analysis using Sentinel and PlanetScope data; build and optimize ML classification pipelines; develop Google Earth Engine apps and geospatial tools; apply advanced geospatial and hydrological modelling; coordinate ground-truth collection; produce reports, research papers, and decision-support dashboards; support stakeholder engagement.

Lead global product marketing initiatives for InMobi's Performance DSP, focusing on go-to-market strategies, product positioning, and market differentiation.

Lead and grow a regional Data & AI technical solutions team in India to ensure resiliency and performance of customer production workloads across APJ and EMEA. Oversee support operations, resolve complex data engineering and ML/streaming incidents, optimize performance, stabilize workloads on new features, engage with customers and product teams, and develop team technical expertise.

The Senior Product Manager will drive product strategy and development, collaborating with cross-functional teams to enhance customer experience, focusing on AI and SaaS solutions.

The Deep Researcher will develop predictive signals for financial markets using quantitative analysis, focusing on fundamental knowledge and data exploration.

Lead post-deployment operations and optimization of Agentic AI, LLM integrations, and Python-based analytical pipelines. Supervise a data science operations team, ensure secure high-availability production systems, manage integrations with enterprise systems (SAP, Salesforce, Postgres), and drive continuous improvement, monitoring, and adoption of analytics solutions.