Top Machine Learning Jobs in Bangalore

As a Senior Backend Engineer at eBay, you'll influence future recommender systems, develop AI models for real-time recommendations, and work with large data sets.

Lead a multidisciplinary R&D organization driving scientific innovation in bioprocessing applications. Oversee product development and lifecycle projects, ensuring robust engineering practices and collaboration across global teams.

The IT Collaboration Platform Engineer will lead the design, development, and operation of cloud-based collaboration services, manage platform integrations, and ensure governance and compliance while driving innovation and optimization.

Lead the research, design, and implementation of algorithmic modules focusing on image processing, computer vision, and machine learning solutions, while optimizing algorithms and addressing hardware requirements.

ValGenesis is hiring software engineers at all levels, focusing on collaboration and innovation. Roles require 2 to 12 years of experience across various engineering disciplines.

The Engineering Manager for Sales Systems will lead a team to develop scalable sales systems and improve engineering standards and processes while collaborating with various stakeholders.

The Senior Manager will oversee multiple agile teams, ensuring effective team performance, strategic planning, and technical leadership in software development, with a focus on AI and cloud technologies.

The CAE Analyst is responsible for conducting structural and thermal analysis, fatigue life calculations, and solving complex FEA problems to support appliance product development at GE Appliances.

Responsible for the end-to-end design, development, and deployment of Machine Learning models, collaborating with teams, and managing deployment lifecycles.

The Digital Manufacturing IT Application Analyst - Senior translates business requirements into technical specifications, designs IT solutions, develops infrastructure components, ensures compliance, and provides support for critical manufacturing IT systems.

The Senior DevOps Engineer will enhance AWS cloud infrastructure for the i-Ready SaaS application, develop CI/CD capabilities, and ensure seamless system integration.

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

The Senior Software Development Engineer in Test will lead quality engineering for AI applications, focusing on automation frameworks, performance testing, and cross-functional collaboration with teams.

As an Engineering Manager, you will lead a team of engineers, oversee project execution, contribute technically, and mentor team members in developing AI applications.

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

The Enterprise Architect is responsible for designing AI-powered enterprise solutions and leading teams in implementing and deploying AI/ML applications across various environments.

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.

The Cloud Developer III builds cloud applications, designs features, debugs code, and implements solutions, collaborating on various technical projects.

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 Staff Software Engineer, you will develop and scale ABBYY's AI platform, focusing on Kubernetes, DevOps, and MLOps while mentoring engineers and designing systems.

Lead and manage a team of Software Engineers focusing on building tooling for internal teams at Nike, emphasizing collaboration and modern software practices.

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.

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

Design and optimize scalable data pipelines, maintain data models, ensure data quality, and collaborate with ML engineers. Mentor junior engineers.

Develop methodology, flows, and tools for SoC and IP development efficiency; work with teams on automation tools using VLSI expertise.