Top Machine Learning Jobs in India

Oversee strategic direction and execution of machine learning projects, collaborate with teams to enhance services using AI/ML solutions, and mentor junior engineers.

Join New Relic as a Machine Learning Engineer focusing on the entire ML lifecycle, deploying production-ready models, designing AI systems, and working on ML initiatives.

As a Machine Learning Engineer, you will develop and optimize machine learning models, analyze datasets, collaborate on model deployment, and conduct experiments.

As a Senior Machine Learning Engineer, you'll design and implement ML models, collaborate with teams, and mentor junior engineers while optimizing solutions for healthcare technology.

As a Machine Learning Intern, you will develop data pipelines, implement machine learning models, conduct performance experiments, and optimize existing models.

Develop data pipelines and deep learning architectures, optimize models, and automate deployments while collaborating in a results-oriented environment.

The Senior SRE will design, build, and maintain services for data analytics and ML, ensuring reliability, scalability, and operational efficiency.

As an ML Engineer - Generalist, you'll enhance the Conversation AI platform, develop ML algorithms, optimize data workflows, and improve model performance.

Lead and manage MLOps practices, oversee deployment and monitoring of ML models, design infrastructure, and drive process improvements while collaborating across teams.

Lead AI and ML initiatives, focusing on data science methodologies, machine learning algorithms, and team leadership for exceptional performance.

The role is focused on developing, implementing, and optimizing AI and machine learning models to drive innovation and improve business outcomes.

The Senior Machine Learning Engineer will develop and scale ML systems for cybersecurity, collaborating on building pipelines, ensuring reliability, and monitoring model performance.

As a Staff Machine Learning Engineer, you will lead the design and deployment of machine learning systems, mentor engineers, and enhance model evaluation processes within a fintech setting.

Lead AI/ML initiatives at IMACS, focusing on model development and deployment for climate-health data integration. Collaborate with teams, ensure effective model delivery, and accelerate training for public health professionals.

The role involves engineering responsibilities including development, design, deployment, and resolving production issues, focused on Adobe's GenAI services team.

Design and build AI applications, optimize ML models, analyze datasets, and collaborate with teams to deploy machine learning solutions.

The Staff Software Engineer will design and deploy ML algorithms, manage large data, and lead team efforts to enhance product offerings.

The Sr. Software Engineer will design machine learning algorithms, handle large unstructured data, and build data pipelines for e-commerce and consumer trends.

Design and maintain end-to-end MLOps pipelines, collaborate with Data Scientists, implement CI/CD pipelines, and ensure compliance and cost optimization of ML solutions on Azure.

Design, develop, and implement machine learning models and algorithms. Collaborate with teams to enhance services with AI/ML solutions and ensure data quality and model deployment.

Lead the AI/ML product management for InMobi's DSP, focusing on campaign performance, optimization, and data strategy while collaborating with cross-functional teams.

You will improve computational infrastructures using NLP techniques, implement microservices architecture, and enhance platform usability for healthcare professionals.

The Director of Machine Learning Research will lead the ML research direction, oversee a team, and bridge research with product development, promoting innovative applications in AI and deep learning.

As a Data Analyst, you will support Data Science & AI initiatives by managing data sources, performing analyses using SQL and Python, and developing insights and dashboards with tools like Tableau. You will ensure data quality and collaborate with teams across the organization.

As a Staff Machine Learning Engineer, you will design and deploy scalable Gen AI/ML systems, mentor engineers, and innovate within the AI/ML frameworks. Collaborating cross-functionally, you'll ensure robust MLOps practices and drive technical excellence in machine learning operations.