Top Machine Learning Jobs in Delhi

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 AI/ML product management, including planning, execution, and delivery of projects. Manage engineering partners and oversee end-to-end product development.

Develop, deploy, and maintain AI and machine learning models. Utilize frameworks and cloud platforms for AI-based solutions and optimize ETL pipelines. Collaborate and solve complex problems in a global team setting.

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.

Develop data-driven models for identity resolution and intent detection, collaborating with engineers to make analytical models actionable in near real time.

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.

Design and deploy LLM-powered applications, lead AI architecture decisions, collaborate with researchers and engineers, and ensure system reliability.

The Staff Machine Learning Engineer will shape the company's ML infrastructure, optimize models, mentor engineers, and improve operational efficiencies.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

The Senior Engineer will develop and deploy machine learning models and workflows, mentor junior engineers, and collaborate with cross-functional teams to improve patient care through innovative solutions.

The AI/ML Engineer II role involves developing AI solutions, managing product backlogs, integrating LLMs, and collaborating on automation projects while leading improvements in IT processes.

The Staff Machine Learning Engineer will design, deploy, and maintain scalable ML solutions, collaborate with teams, and enhance productivity through tooling.

The role involves designing, building, and scaling ML/RL systems that enhance customer experience while ensuring reliability and efficiency in production. Responsibilities include model optimization, deployment, and monitoring for performance improvements.

As an AI/ML Engineer, design, develop, and deploy machine learning models and AI solutions for fintech, ensuring integration with cloud platforms and robust data pipelines.

Design, develop, and deploy machine learning models and AI solutions. Collaborate with teams for intelligent automation and conduct research on new AI technologies.

The Associate Principal Engineer in Machine Learning will design AI/ML solutions, ensure architectural quality, and lead problem-solving efforts while collaborating with stakeholders.

The role involves designing, training, and deploying machine learning models, integrating LLMs, and implementing MLOps best practices. Collaboration with cross-functional teams is essential to drive AI initiatives.

Develop and scale data management systems for AutoML and forecasting platforms, ensuring data reliability and implementing SLAs across pipelines.

The Technical Architect for AI/ML will define architecture for AI systems, mentor teams, and align strategies with business objectives, utilizing cloud-native tools and frameworks.

The Lead BI/ML Developer will design and implement BI dashboards and conversational analytics, integrating ML models and optimizing workflows.

The Lead BI/ML Developer will architect and develop dashboards and conversational analytics solutions, integrate ML models, and optimize data workflows.

Design and develop machine learning infrastructure and models to enhance user experience. Collaborate with teams on AI integration and data lifecycle management.