Top Machine Learning Jobs in Bangalore

Lead and manage a team of AI developers and scientists to design, develop, and deploy AI-powered software solutions for financial institutions, ensuring alignment with product strategy and effective project management.

As Director of Software Engineering, you will lead teams in developing scalable systems for real-time fraud detection, integrating AI and new technologies, while ensuring high-quality software delivery.

As a Sr. Engineer on the Data + ML Platform team, you will design and build scalable ML pipelines and ensure best practices in development and deployment, shaping critical business decisions in modern cybersecurity.

Design and develop cloud-native data platforms and analytics SaaS services, focusing on scalable microservices and real-time systems. Ensure CI/CD and maintain data security.

Design and implement scalable ML infrastructure, optimize resource utilization, develop automated ML pipelines, and lead technical initiatives in a distributed systems environment.

The Staff Technical Solutions Engineer provides deep technical solutions for Apache Spark issues, guiding customers in using Databricks effectively and troubleshooting complex problems.

The RPA Developer will design, develop, and deploy automation solutions utilizing Automation Anywhere and AI technologies to enhance finance processes and workflows.

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.

As a Platform Engineer, you will develop, deploy, and integrate software platforms to optimize business processes in a pharmaceutical company, ensuring seamless data flow and enhancing operational efficiency.

Lead the engineering team to develop AI-powered data analytics products. Responsible for architecture, design, and ensuring customer-centric development while mentoring engineers.

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

The Senior Automation Engineer leads the design and implementation of automated systems to improve efficiency, provides technical support, and collaborates with teams to enhance automation solutions.

Lead the development of customer onboarding and KYC systems, integrating AI for support, ensuring compliance, and managing engineering teams to enhance user experiences and operational efficiency.

Lead enhancements of a hybrid SaaS platform focusing on networking, AI, and automation. Collaborate with teams to ensure system reliability and mentor engineers.

As a Senior Software Engineer, you will implement software components, ensure quality through TDD, participate in design reviews, and lead technical discussions while collaborating with cross-functional teams.

The ServiceNow Solution Architect - AI leads a team to develop AI-driven applications on the ServiceNow platform, integrating ML and NLP solutions, and managing all development aspects from design to testing.

As a Senior Machine Learning Engineer, you will design and deploy machine learning solutions for search and recommendation systems, collaborating with teams to enhance user experiences.

The Staff AI Platform Engineer will design scalable AI systems, improve reliability, mentor engineers, and collaborate on technical roadmaps, ensuring robust platforms and engineering excellence.

As a Senior Software Engineer II, you'll design APIs, improve performance, mentor engineers, and build AI solutions for better healthcare access.

The Senior Software Engineer will design and maintain backend software, APIs, and collaborate with various teams to enhance product offerings and scale services.

Manage engineering teams, focusing on recruitment, training, project management, and technical decision support while promoting a strong engineering culture.

The AI Developer will create applications for stock management, automate invoice processing, optimize OCR processes, and integrate AI/ML solutions.

As a Backend Software Engineer, develop and improve Bloomreach's multi-tenant search infrastructure, leveraging cloud technologies and machine learning for enhanced performance and scalability.

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.

The Senior Software Developer designs AI solutions, mentors juniors, collaborates cross-functionally, and drives improvements in AI practices while managing complex algorithms and machine learning models.