Top Machine Learning Jobs in Bangalore

As a Principal Engineer, lead the architecture and deployment of AI/ML systems, drive MLOps practices, and mentor engineers across teams.

The AI/ML Computational Science Associate Manager will analyze and solve complex problems, create innovative solutions, and manage teams to improve business performance in the banking, insurance, or retirement domains.

Lead technical teams to design, develop, and scale AI platform services. Oversee architecture, manage backlogs, mentor team members, and ensure compliance with AI ethics.

As a Machine Learning Engineer Tech Leader at eBay, you will design and maintain data pipelines, optimize software performance, and collaborate with teams to implement technical solutions.

The role involves designing and developing Adobe GenAI services with a focus on machine learning models. Responsibilities include collaborating on engineering phases, building specifications, and resolving production issues.

Design and implement cloud native systems for Guidewire, drive engineering best practices, and collaborate with product management and engineering leadership.

As a Full Stack Machine Learning Engineer, you will develop AI-powered applications, integrate ML models, and collaborate with cross-functional teams to deliver impactful solutions.

Lead the design and implementation of MLOps strategies, oversee enterprise-grade ML/LLM pipelines, and collaborate with cross-functional teams to deliver scalable AI/ML solutions.

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 involves developing and automating applications in the automotive industry, providing customer support, leading application development, and collaborating with various teams to implement solutions.

The role involves designing AI/ML applications and scalable pipelines, leading teams, and improving coding practices at Visa. The engineer is responsible for developing advanced solutions and mentoring junior members in projects involving LLM-based applications.

Design and build scalable ML platforms and infrastructure for payment optimizations, collaborating with teams and mentoring new members.

As an ML Quality Engineer at Cerebras, you will ensure software quality across ML workloads by implementing testing methodologies, debugging issues, and automating workflows.

The Staff Engineer in Machine Learning will guide teams, solve client challenges, and enhance solutions leveraging their technical expertise.

Develop and deploy recommender systems at eBay, focusing on AI models, big data pipelines, and enhancing user interaction with personalized recommendations.

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 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.

Looking for a Staff Software Engineer to design and implement large scale microservices, mentor junior engineers, and enhance automated testing processes in a cloud-based environment.

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 an ML Quality Engineer, you will ensure Cerebras software quality for ML workloads, drive best testing practices, build tools, and validate customer workflows.

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.

Maximize neural network performance by enhancing a compiler, collaborating with architects, and implementing support for an advanced architecture.

The Senior Machine Learning Engineer will design and implement advanced ML algorithms for search and recommendations, collaborating with data teams and staying updated on ML advancements.

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