Top Machine Learning Jobs in Pune

Lead end-to-end delivery of large, complex technical epics and engineering initiatives. Manage engineering teams, dependencies, risks, milestones, releases, governance, and stakeholder communications. Partner with engineering, architecture, product, business, and delivery teams to ensure predictable, high-quality outcomes. Facilitate Agile practices, resolve impediments, establish accountability, and translate technical information into business insights. Experience delivering AI, machine learning, cloud, data, API, or enterprise-scale initiatives is advantageous.

Senior Product Manager responsible for defining and delivering shared services for SailPoint’s enterprise identity security platform. The role partners with Product, Design, Engineering, and stakeholders to guide SaaS and cloud capabilities from discovery through launch, prioritize roadmaps, define requirements, track adoption metrics, and shape long-term platform strategy. The position is hybrid in Pune and requires approximately 15% travel.

Leads development of secure, scalable software services and applications using Java, Spring, Kafka, APIs, and distributed-system patterns. Owns complex cross-service problems, architecture, prioritization, automation, integration, troubleshooting, incident analysis, and operational excellence. Mentors engineers, guides technical decisions, promotes secure coding and quality practices, partners with product teams, supports agile delivery, and conducts technical interviews.

Leads strategy and execution for Mastercard’s next-generation disputes platform. Owns strategic platform domains, roadmaps, backlogs, product requirements, investment priorities, and outcomes across multiple agile teams. Partners with executives, customers, engineering, architecture, data science, design, and regional stakeholders. Drives AI, automation, predictive decisioning, and generative AI adoption across dispute resolution experiences and operations while coaching product teams and influencing enterprise modernization and portfolio investment decisions.

Owns a cybersecurity detection coverage area, including backlog prioritization, technical direction, detector design, implementation, code reviews, tuning, and performance measurement. The role improves detection fidelity, ATT&CK coverage, false-positive reduction, and regression prevention while translating threat intelligence, threat hunting, and SOC feedback into roadmap priorities. It requires deep expertise in at least one detection domain and hands-on detector-as-code development with version control and controlled deployment.

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.

Leads end-to-end delivery of complex technical epics and engineering initiatives across multiple teams. Responsibilities include planning, estimation, dependency and risk management, Agile delivery, governance, stakeholder communication, milestone tracking, and executive reporting. The role requires strong software development lifecycle knowledge, engineering delivery experience, and the ability to translate technical issues into business outcomes. Experience with AI, Generative AI, Machine Learning, cloud, data, API, or enterprise-scale initiatives is advantageous.

Lead end-to-end delivery of production-grade ML, Generative AI, and RAG solutions across multiple pods. Develop architecture-aligned delivery plans, manage dependencies, risks, releases, NFRs, and production readiness, while representing teams in senior governance forums. Guide ML versus GenAI decisions, RAG implementation, evaluation, guardrails, security, monitoring, and responsible model usage. Translate technical requirements into actionable epics and stories and ensure measurable business outcomes.

Lead the architecture and development of scalable batch, streaming, and event-driven data platforms supporting analytics, machine learning, generative AI, and agentic AI. Build governed lakehouse architectures, reusable data products, ingestion and orchestration pipelines, and AI lifecycle capabilities. Drive security, governance, observability, reliability, performance, and cost optimization while translating R&D concepts into production systems. Provide hands-on technical leadership, architecture reviews, mentorship, and cross-functional collaboration.

Lead the architecture and hands-on development of scalable batch, streaming, and event-driven data platforms supporting analytics, machine learning, generative AI, and agentic AI. Build governed lakehouse architectures, reusable data products, ingestion and orchestration pipelines, and ML lifecycle capabilities. Establish standards for security, governance, testing, CI/CD, observability, reliability, and cost optimization while providing technical leadership, mentoring, architecture reviews, and cross-functional collaboration.

Leads enterprise data architecture strategy and develops scalable data platforms, pipelines, warehouses, lakes, governance frameworks, and analytics solutions. Designs data models, integrations, migrations, and reporting architectures across AWS, Azure, Databricks, Snowflake, and BI platforms. Partners with AI/ML teams, business stakeholders, and senior leadership to modernize data capabilities, optimize performance, establish standards, and deliver complex analytical solutions. Mentors data engineers and architects while advancing data quality, security, compliance, and architectural governance.

Perform advanced analytics on large datasets, design and build automated data pipelines, investigate data quality and lineage, and create interactive dashboards. Translate insights into actionable campaign and process recommendations, partner with stakeholders and support campaign delivery and BAU operations.

Entry-level Full Stack Developer responsible for building responsive React.js interfaces, Python Flask or Django backend services, REST APIs, and database integrations. The role includes writing maintainable code, testing, debugging, code reviews, performance improvements, and collaboration with designers, product managers, and engineers. Candidates should have a relevant bachelor’s degree and 0–1 years of experience through internships, projects, or hackathons.

Leads consulting engagements for service-provider mobility solutions, advising customers on 4G/5G architecture, packet core, cloud virtualization, deployment, optimization, and complex problem resolution. Develops technical designs, implementation plans, tests, and documentation; collaborates with Cisco engineering, product, sales, and partners. Provides technical leadership, customer support, training, mentoring, lab trials, risk analysis, and cross-functional execution while supporting customers across the Americas on swing shifts.

Leads engineering strategy, architecture, delivery, and operations for NVIDIA’s AI-powered employee productivity platform. Manages and develops engineering teams building web, mobile, and agentic experiences at global scale. Oversees technical roadmaps, distributed systems, enterprise integrations, reliability, security, privacy, observability, and responsible AI practices while partnering with Product, Design, HR, Security, SRE, and business stakeholders.

Leads the design, implementation, and delivery of Asset Performance Management solutions for industrial and process industries. Responsibilities include developing equipment and process performance models, creating technical documentation, leading customer workshops and testing, managing project schedules and budgets, addressing issues, integrating analytic models with enterprise applications, and supporting post-launch value capture. Requires extensive experience with APM platforms, industrial equipment, reliability methodologies, machine learning, SQL, system integration, and process engineering.

Leads the design and implementation of Asset Performance Management solutions for industrial sectors including refining, chemicals, power, mining, and oil and gas. Responsibilities include technical project delivery, process and equipment performance modeling, customer workshops and training, progress tracking, testing, issue resolution, post-go-live monitoring, and value capture. The role develops predictive analytics using first-principles models, machine learning, Python, R, SQL, and industrial system integrations.

Leads consultative discovery and solution development for AspenTech customers across Oil & Gas, Chemicals, Power, Mining, and Food & Beverage industries. Partners with sales teams to identify business challenges, demonstrate software capabilities, develop value propositions, create proposals and scopes of work, and support opportunities through solution design and delivery. Requires strong industry, technical, analytical, communication, and consultative expertise, with substantial regional travel across APJ.

Leads the architecture, development, and productionization of AI/ML and GenAI solutions for healthcare operations. Responsibilities include building clinical and claims data pipelines, developing LLM and RAG applications, implementing MLOps and LLMOps, ensuring HIPAA-compliant governance, translating business needs into technical roadmaps, communicating with stakeholders, and mentoring engineers.

Build and deploy AI and machine learning models for business challenges, develop Generative AI and Agentic AI solutions using LangChain and LangGraph, leverage LLMs, create data visualizations and actionable insights, and collaborate with cross-functional teams while managing data science projects.

Leads data science teams supporting commercial healthcare analytics, translating business needs into analytical problems and production-grade ML and GenAI solutions. Responsibilities include defining technical requirements, developing models, applying GenAI, managing end-to-end projects, collaborating with stakeholders, presenting insights to executives, mentoring data scientists, and building expertise in oncology analytics, patient-level data, HCP analytics, and segmentation.

Design and build reinforcement-learning training environments and diverse tasks to evaluate and improve LLM agents; iterate rapidly on task designs from customer feedback, deliver high-quality outputs with minimal supervision, and maintain PST overlap for collaboration.

Lead research on improving AI agent training data and evaluations. Manage and mentor research engineers, define research direction, design rigorous experiments, validate data quality, diagnose reward and grading failures, and translate findings into scalable tools, workflows, and standards. Collaborate with engineers, domain experts, and vendors while communicating technical conclusions and tradeoffs clearly.

Build and maintain mission-critical wealth management systems for SMB clients. Design data pipelines, ETL/ELT processes, data models, warehouses, analytics, and reporting solutions using AWS, Snowflake, Mage AI, and other big data tools. Collaborate with data scientists and analysts on predictive models, statistical analyses, and machine learning algorithms. Develop software with Next.js and Python while working closely with the team and clients on financial-domain challenges.

Leads Financial Crime Technology application development, data architecture, AML and fraud-monitoring technology delivery. Oversees strategy, architecture, budgets, resources, risk, governance, system migrations, and regulatory compliance. Drives AI and generative AI innovation, including machine learning, LLMs, intelligent automation, explainable AI, and responsible-use guardrails. Partners with business, technology, legal, risk, and compliance leaders while managing and developing high-performing teams.