Top Machine Learning Jobs in Delhi

The role involves designing and developing software solutions, maintaining production code, and improving system architecture within an agile team at JPMorgan Chase.

The Strategic Partner Manager will manage VARs, drive sales growth, build relationships, and support partner-led deals to maximize LogicMonitor's market presence.

Develop and implement advanced analytics, machine learning, and IIoT solutions in manufacturing, driving improvements and providing actionable insights for pharmaceutical production.

Manage marketing activities across multiple Asian countries, driving user growth, improving retention, and embedding AI in marketing processes.

As a Principal Machine Learning Engineer, you will influence AI product features, collaborate on business problems, apply technical expertise, and drive strategic decisions using data and analysis.

Lead and scale QuillBot's AI Engineering & MLOps function by overseeing the full ML lifecycle, optimizing performance, and mentoring a team while collaborating cross-functionally.

The Principal Machine Learning Engineer influences AI product development, collaborates with cross-functional teams, and drives business strategies using data analysis and insights.

Lead the definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

As a Backend Software Engineer, develop and improve Bloomreach's multi-tenant search infrastructure, leveraging cloud technologies and machine learning for enhanced performance and scalability.

Drive the Search product roadmap at Bloomreach, focusing on AI, personalization, and data-driven decisions while ensuring customer engagement and market readiness.

The role involves handling manuscripts for a leading Open Access journal, making editorial decisions, and liaising with the scientific community.

Lead and develop a global Site Reliability Engineering (SRE) team, ensuring system reliability and performance while driving strategic initiatives and fostering collaboration.

Design and productionize ML models for search relevance and personalization. Collaborate on ML services with backend teams under performance constraints.

The Solutions Consultant serves customers by providing technical leadership and guidance in security transformation, ensuring value realization from Palo Alto Networks solutions while exceeding sales quotas.

Lead the data engineering strategy at XO Health, overseeing a team, implementing scalable data solutions, and developing advanced analytics models for healthcare data optimization.

The role requires a skilled Machine Learning Engineer to create complex models and AI solutions while collaborating with teams to enhance products and services.

The Senior QA Engineer will ensure quality in AI products, designing test plans for APIs, UI, and ML workflows, conducting performance testing, and collaborating with ML teams.

Lead the strategy and execution for recommendation systems, cross-promotion, and ads monetization initiatives to enhance user growth and revenue.

The Implementation Lead will manage customer implementations of Lyric's AI-powered platform, ensuring projects meet timelines, success criteria, and technical quality while collaborating across teams.

The Staff Engineer in Machine Learning will guide teams, solve client challenges, and enhance solutions leveraging their technical expertise.

Lead technical design and architecture strategy for high-value digital solutions sales, collaborating with sales teams to present solutions and ensuring technical integrity during proposals.

The Senior Backend Engineer will design, develop, and maintain software solutions for identity verification, focusing on scalability, security, and high performance, while mentoring junior engineers and collaborating in an agile environment.

The AI Deployment Manager leads implementation and adoption of OpenAI products, focusing on customer satisfaction, training, and technical deployment. They collaborate with various teams to ensure successful deployment and customer outcomes.

The role involves researching, designing, and implementing AI algorithms, supervising a team, and managing operations within the AI sector.

The Junior ML Engineer is responsible for researching and designing AI algorithms to simulate human intelligence processes and solve business challenges. The role involves developing solutions, leading junior staff, and continuously improving operational processes.