Top Machine Learning Jobs in India

Lead development and delivery of analytic solutions across credit, fraud, insurance, and marketing. Manage small teams and client engagements, design and deploy ML/DL models, implement model governance and monitoring, and translate technical work into business recommendations. Contribute to research, mentor junior staff, and support proposals through production deployments using R, Python, and big-data/cloud tooling.

Lead and drive network improvement projects for packet core to reduce costs and tickets, improve customer experience and network performance. Correlate alarms, tickets, and work orders, perform KPI trend and root-cause analysis, propose preventive and predictive solutions, maintain risk and action registers, collaborate with data analytics to build prescriptive models, and ensure governance and knowledge-base capture for recurring issues.

The Sales Executive is responsible for selling SailPoint's IGA Solution Suite to large organizations, engaging with C-level executives, and maintaining relationships with key clients while navigating a lengthy sales cycle.

The Engineering Lead will design and implement technical features, work on ML pipelines, and mentor engineers while ensuring high-quality deliverables. This role requires collaborating with teams and managing the ML lifecycle for business value.

Lead and embed Six Sigma methodology across the organization, manage teams of practitioners and projects, drive process improvement and change management, partner with leadership and stakeholders, identify root causes and launch initiatives to meet critical business objectives.

Manage verification for complex DRAM design projects, develop methodologies, lead teams, provide technical advice, and enhance AI-driven verification processes.

Develop and productize AI/ML and GenAI solutions (including LLMs, NLP, computer vision) for aerospace applications. Own end-to-end ML lifecycle: data pipelines, training, deployment, monitoring and optimization. Conduct R&D, prototype PoCs, mentor junior staff, collaborate with international teams and stakeholders, and document results to improve aircraft performance, manufacturing, and operational efficiency.

The role involves designing and developing Generative AI solutions, engaging with business stakeholders, leading technical projects, and mentoring team members.

Lead the development of AI-enabled healthcare products, collaborating with cross-functional teams to enhance patient-centric solutions and drive business impact.

Responsible for managing customer service requests, ensuring SLA performance, providing data-driven solutions, and handling technical issues for customers.

As a Senior Support Engineer, you will manage customer service requests, ensure timely issue resolution, and oversee SLA performance while providing data-driven support solutions to enhance customer satisfaction.

Senior GIS Data Engineer responsible for developing and maintaining geospatial datasets and data pipelines. Build, run, and optimize ETL workflows (batch to flow), transform and integrate spatial data using FME/ArcGIS/Python/SQL, ensure data quality, provide GIS consultancy, and collaborate cross-functionally to deliver scalable mapping solutions and improve processes.

Design and deliver production-grade GenAI systems and agents for Telecom OSS/BSS: build RAG pipelines, train and optimize LLM/SLM models, deploy scalable Python services/APIs, and integrate cloud-native ML solutions to drive automation, intelligence, and decisioning at scale.

Design and implement technical features, collaborate with clients, write production-ready code, ensure quality deliverables, mentor team members, and implement ML models on large scale.

The AI/ML Engineer/Architect will lead prototyping and productization of AI/ML technologies, develop governance frameworks, and collaborate across functions to align with strategic goals.

Work in a cross-functional team to develop, implement, and apply numerical and multi-physics models for materials, structures, and processes supporting memory development. Use scientific computing, computational materials methodologies, and ML techniques to analyze results, report findings, and collaborate on next steps. Position is temporary (up to 12 months).

Lead AI strategy and program management across business units, co-lead enterprise innovation forums from ideation to implementation, drive process reimagination using AI, ensure execution readiness for AI-first initiatives, and collaborate with operations, data, AI and technology stakeholders to scale AI solutions and measure impact.

Lead and drive network problem-management and improvement projects to reduce alarms, tickets and work orders. Analyze alarm/TT/WO correlations, monitor KPIs, identify root causes and single points of failure, propose mitigation and predictive/preventive solutions, collaborate with data analytics to build models, maintain risk and action registers, and create knowledge base for recurring issue reduction.

Lead plant digital transformation by running pilot projects, evaluating disruptive technologies, partnering with startups, implementing MES/IIoT, and owning end-to-end product management and adoption to improve efficiency, quality, and sustainability.

The role involves designing and developing AI/ML solutions, building predictive models, ensuring model governance, and collaborating with stakeholders to create impactful analytics solutions.

Lead the development of generative AI systems, overseeing multi-agent AI architectures, machine learning pipelines, and implementing responsible AI practices. Drive innovation in AI applications using various frameworks and databases while managing cross-functional teams.

Design and implement map and location quality testing: create experimental and sampling plans, develop ML models and statistical metrics, build data/computing tools, collaborate with stakeholders, present methods and results, and lead end-to-end quality evaluation processes.

The AI Engineer designs AI solutions for data management and governance, employing machine learning to enhance data quality and compliance.

Lead and manage a team of Machine Learning Engineers and Data Scientists to develop ML solutions that enhance user engagement and support business objectives in digital entertainment.

Lead the sales technology strategy and manage product lifecycle for CRM and sales automation platforms. Collaborate with various stakeholders to implement solutions, drive digital adoption, and enable data-driven decision making.