Top Machine Learning Jobs in India

Lead the development and deployment of predictive maintenance solutions using AI/ML techniques for Boeing's aircraft. Manage projects, analyze data, and ensure quality in analytics solutions.

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.

The Tax & Compliance Senior Associate will handle tax assessments, oversee reporting and compliance, coordinate with vendors on tax litigation, and execute complex tax assignments.

Lead the MLX product team to define product vision and strategy, partner with data scientists, ML engineers and business leaders, manage and develop product managers, prioritize and maintain backlog, run agile ceremonies, and drive adoption of MLOps, observability, and Generative AI across India and US teams.

As Director of Technical Program Management, lead enterprise-level machine learning initiatives, collaborate with cross-functional teams, and develop TPM best practices.

The Specialist Generative AI will develop and integrate generative AI solutions into enterprise applications, ensuring compliance with IT security standards and optimizing AI performance.

The role involves developing AI/ML solutions for aerospace, mentoring junior staff, and collaborating on innovative projects enhancing aircraft efficiency and productivity.

The role involves leading a QA team, managing testing phases, collaborating with stakeholders, analyzing metrics, and promoting quality culture.

The Associate Business Support Specialist role involves implementing space planning, managing employee services, coordinating operations, overseeing asset management, and ensuring safety protocols. The position requires collaboration across functions and effective communication skills.

Serve as a technical advisor and architect for complex enterprise solutions. Lead strategy and resolution of large-scale engineering challenges, translate business objectives into technical designs, drive innovation across cloud, data, AI and DevOps domains, and advise leadership on technology adoption and roadmaps.

Lead product vision and strategy for developer solutions platform, drive AI-powered SDLC improvements, align stakeholders across India and USA, prioritize roadmap, manage backlog and agile ceremonies, and resolve impediments to increase developer productivity.

Lead product strategy and customer engagement to define the roadmap for an enterprise-grade DSML platform, integrating AI into workflows and analyzing insights.

The role involves leading the India IIS team to provide strategic business support through data and analytics, performance measurement, and market insights. Responsibilities include overseeing analytics plans, driving performance management, managing market research budgets, and collaborating across teams to enhance GCA capabilities.

The role involves designing, testing, and deploying software solutions while mentoring junior developers and owning critical processes in an agile environment.

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.

Lead development, validation, documentation, and defense of quantitative models; forecast credit and operational risks; apply stochastic and structured-securities analysis; support product and marketing decisions; collaborate with regulators and auditors; present analytical results and strategies.

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.

Diagnose full technology stack performance issues, tune web applications and databases, interpret technical data to identify trends, liaise with clients to resolve customer-impacting problems, and collaborate with Account Escalation teams to ensure timely resolution.

As a Principal AIOps Engineer at Boomi, you will leverage AI and machine learning to enhance integration and automation, driving significant business impact. You'll work with cutting-edge technologies and lead teams to innovate and solve complex challenges.

Join Boomi as a Fullstack AI/ML Engineer to work on their intelligent integration and automation platform, making impactful contributions.

Lead end-to-end analytics projects: design and deliver statistical and ML solutions (including Generative AI), migrate analytics to cloud, produce reports, and consult stakeholders to align data models and requirements.

The Staff Software Engineer will lead software design and development, focusing on AI integration, full-stack applications, and stakeholder collaboration to deliver complex projects across multiple teams.

Manage accounting and budgeting functions, ensure timely completion of audits, coordinate tax assessments, and implement process improvements in collaboration with global stakeholders.

The Senior Manager, QA/User Testing will lead AI-driven user testing initiatives, ensuring quality, usability, and compliance for AI solutions, while managing testing strategies, stakeholder communication, and regulatory adherence.

Lead cross-functional data product initiatives: define and maintain data product roadmaps, design scalable data models and pipelines, ensure governance and data quality, enable analytics/ML use cases, collaborate with stakeholders, and mentor teams to deliver data-driven solutions.