Top Machine Learning Jobs in Delhi

AI/ML Engineers develop software to deploy machine learning models and algorithms, communicate analytics results, and adapt ML in various applications. They work with data analysis systems and employ methodologies from statistics and probability theory.

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

Seek an experienced Enterprise Sales Representative to sell IGA Solutions to organizations, engaging with C-level in a lengthy sales cycle using the Challenger sales methodology.

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

Design and implement AI-driven systems to solve business problems, focusing on orchestration, observability, and model deployment.

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.

The Senior ML Engineer will manage data acquisition, implement ML algorithms, deploy models, mentor junior staff, and communicate findings effectively.

As a Senior Software Engineer, you'll develop backend systems using Python and Java, ensure their reliability, and maintain performance and efficiency while collaborating with the team on microservices and coding best practices.

As a Software Engineer 2, you'll develop backend services using Python or Java, contribute to feature development, and ensure code quality with comprehensive testing.

As a Principal Software Engineer, you will lead the design of complex backend systems, focusing on reliability, performance, and the implementation of Agentic AI capabilities while guiding team members and ensuring adherence to engineering excellence.

As a Principal Software Engineer, you'll lead the design and implementation of backend systems, advancing Agentic AI capabilities and optimizing microservices across cloud environments while providing technical leadership to the team.

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 Sr ML Engineer will perform EDA, manage data processes, train and optimize ML models, implement monitoring strategies, mentor junior members, and communicate findings effectively to stakeholders.

The Senior Data Scientist will develop Generative AI models, optimize pipelines, and implement AI solutions in health sciences, leveraging NLP and machine learning expertise.

As a Senior Data Scientist, you will develop and deploy AI models and solutions, focusing on Generative AI and NLP in healthcare applications. Responsibilities include building, testing, and maintaining data science pipelines, mentoring juniors, and collaborating with teams to integrate AI technologies.

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.

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.

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

The Senior Intelligence Analyst transforms AI-derived data into actionable intelligence reports, collaborates with teams to develop solutions, and engages with clients to improve national security efforts.

Lead and innovate AI solutions by designing next-gen systems, collaborating on product development, and mentoring teams to enhance AI integration.

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.