Top Machine Learning Jobs in Delhi

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

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

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

As a Senior Data Analyst, you will forecast case volumes, manage capacity, perform data analysis, and enhance operational performance while partnering with teams for customer experience improvements.

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 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.

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

Lead the development of core platform features, ensuring a user-centric experience for data scientists and analysts. Collaborate with teams to align product strategy with business goals, focusing on feature enhancement and stakeholder communication.

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.

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.

Lead development of AI accelerators and ML models for sustainability and safety. Engage stakeholders, mentor teams, and ensure ethical AI practices.

As a Backend Engineer at Socure, you'll design, develop, and deploy software solutions, ensuring scalability, security, and high quality while mentoring junior engineers and collaborating in an agile environment.

As a Customer Facing Data Scientist, you'll support customers through pre-sales and ongoing engagements, leveraging AI and data science to solve complex problems, collaborate with various stakeholders, and present at conferences.

The intern will engage in full-stack development, collaborating with teams, optimizing code, and exploring AI techniques, while learning Agile methodologies.

As a Software Engineer, design, develop, and deploy software solutions leveraging AI. Optimize performance and collaborate with cross-functional teams to enhance customer experiences and internal efficiency.

The Data Scientist will analyze complex datasets, develop predictive models, and derive insights to support business objectives using advanced statistical methods.

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

Lead and mentor a team of engineers, oversee development processes, drive ML initiatives, and collaborate globally on the Domain Search platform.

Design and develop machine learning models for BFSI use cases, implement MLOps pipelines, and build GenAI solutions while ensuring compliance and governance.

Design and implement machine learning models and GenAI solutions for BFSI, employing various frameworks and ensuring compliance and governance.

Design and deploy ML models, build GenAI and NLP solutions, and implement MLOps pipelines for BFSI use cases. Collaborate on AI opportunities and ensure model compliance.

Join the AI Factory team to develop ML solutions that enhance patient care. Collaborate with cross-functional teams, mentor juniors, and innovate machine learning algorithms in a production environment.

Develop AI and ML models to enhance patient care, collaborate with cross-functional teams, mentor junior engineers, and explore new ML techniques.