Top Machine Learning Jobs in India

As a Machine Learning Engineer, you will develop AI solutions, own AI features, integrate ML into CI/CD, mentor peers, and work on infrastructure challenges.

Develop and test software components for automotive dealerships, lead AI/ML solution design and integration, and mentor SDE I engineers.

The Lead Software Engineer, Machine Learning will design, develop, and deploy scalable ML algorithms, improve existing models, and collaborate cross-functionally to create AI products.

You will design ML models to improve search and personalization, mentor junior engineers, and write maintainable code while collaborating with customers.

Design, develop, and implement machine learning models and algorithms to solve complex problems, monitor performance, and work with cross-functional teams.

Lead the design, development, and implementation of machine learning models and algorithms, optimizing for performance while mentoring junior engineers.

Lead the development of machine learning products by driving technical direction, designing data pipelines, and collaborating with teams to innovate solutions in consumer finance.

The Applied Machine Learning Architect will develop and deploy ML models, maintain data pipelines, and collaborate with product teams to enhance financial solutions.

As a Machine Learning Engineer at Level AI, you'll work on NLP challenges, develop scalable solutions, collaborate with teams, and innovate using cutting-edge ML techniques.

The Principal Engineer, Machine Learning will design AI solutions for telecom use cases, collaborate with teams, oversee deployment, and ensure compliance with data regulations.

Seeking an AI/ML Engineer with 4+ years of experience to design, develop, and implement AI models and solutions, collaborating across teams to translate enterprise needs into practical applications.

Lead the design and implementation of ML/AI applications, manage teams, develop and fine-tune models, and ensure successful project deployment.

The AI / ML Platform Engineer will build and maintain MLOps infrastructure on AWS, enabling scalable AI workflows and collaborating with data teams.

The Lead Software Engineer will design, build, and scale high-performance infrastructure, oversee ML Ops and system reliability, and mentor junior engineers while developing microservices in Golang and Python.

Develop and optimize machine learning models, manage project priorities, and improve real-world solutions using advanced ML techniques.

As a Senior Customer Success Engineer, you will support customers with Kubernetes and AI/ML solutions, troubleshooting technical issues and guiding them to optimize their workloads on DigitalOcean's platform while collaborating with engineering and product teams.

Develop full stack applications using Python and Next.js/React, integrate AI/ML models, and work on cloud automation projects with Azure.

As a ML Engineer Intern, you will build functionalities for products and integrate third-party systems, gaining hands-on experience in ML applications.

The AI/ML Technical Capability Owner will design AI/ML frameworks, manage toolsets, facilitate workshops, and ensure compliance across data security and governance.

As an SDE-3 in AI/ML, you will lead design and implementation of AI systems, prototyping solutions, and mentor junior engineers, ensuring performance and scalability.

Lead the design and deployment of advanced machine learning models, mentor junior staff, and drive innovation in AI technology at Ema.

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

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

Develop and optimize machine learning models for ad technology, manage ML infrastructure, perform data analysis, and collaborate with teams to improve systems.

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