Top Machine Learning Jobs in Bangalore

The Business Systems Analyst will bridge business and technical teams, focusing on enhancing Order Management processes using Oracle applications, ensuring timely and on-budget solution delivery.

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 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.

The Principal Architect leads the technical architecture for enterprise programs, ensuring scalable solutions and driving technology best practices while collaborating with leadership on innovative strategies.

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

Lead design and development of scalable Java microservices for conversational AI. Architect backend APIs, optimize distributed systems, integrate LLMs/NLP, implement real-time messaging, database tuning, cloud/container deployments, CI/CD improvements, security practices, and mentor junior engineers while collaborating across product and operations teams.

Operate and support cloud-native applications on Microsoft Azure, manage Docker/Kubernetes (preferably AKS) workloads, handle production incidents and RCA, support hybrid edge deployments, implement monitoring/logging/alerting, perform deployments and patching, collaborate with DevOps and engineering teams, ensure security and participate in on-call rotations while driving automation and operational improvements.

Drive technical direction and build end-to-end onboarding and adoption experiences across frontend and backend. Design, operate, and optimize REST and GraphQL APIs, integrate data pipelines and ML/AI features, ensure scalability, security, observability, and developer productivity, mentor engineers, and collaborate with cross-functional and distributed teams.

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

Lead development and innovation of managed switching solutions targeting SMEs, focusing on product features, cost-performance, technical architecture, and market-driven solutions.

As a Software Engineer III, lead architectural initiatives, drive innovation in InsurTech, and develop cloud-native solutions while mentoring team members.

The Engineering Manager leads the NIRA team, executing the engineering roadmap and improving engineering practices while managing a high-performing team.

Architect system-level SoC platforms across product tiers: define architecture specs, hardware/software partitioning, KPIs, and IP requirements. Collaborate with cross-functional teams through design and productization, perform make-vs-buy and performance/power/area tradeoff analyses, and ensure compliance with automotive safety and mixed-criticality standards.

The role involves developing enterprise applications using Java and Spring, integrating AI features, mentoring junior developers, and collaborating with cross-functional teams.

Lead design, develop, test and support SAP ABAP solutions, deliver RICEFW objects, integrate SAP with third-party systems, optimize performance, produce technical documentation, mentor junior developers, and help adopt AI/automation in the SAP ecosystem.

Lead and grow an engineering team to build and improve user support experiences at Stripe, focusing on technical solutions for diverse user segments while collaborating with cross-functional teams.

Lead and technically drive Nike's multi-cloud platform engineering: design, build, operate, and govern cloud infrastructure solutions (Kubernetes, control plane, CRDs, autoscaling). Split time between hands-on engineering and leadership—shaping technical priorities, best practices, partnering cross-functionally, and mentoring cloud engineering teams.

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

As a Sr. Engineering Manager, you will lead a team of full stack engineers in developing innovative robotics solutions, focusing on team management, technical decision-making, and product development operations. You will also influence product roadmaps and resolve technology roadblocks while ensuring adherence to development standards.

The role involves developing image processing algorithms, analyzing algorithms for defect detection, and collaborating with cross-functional teams. The candidate will also create mockups, translate market needs into product requirements, and validate high-quality ML/DL algorithms.

Lead design, build, operate, and integrate enterprise multi-cloud infrastructure and platform solutions. Split time between hands-on engineering (Kubernetes, cloud platforms, observability) and technical leadership: defining best practices, mentoring, and translating business needs into cloud solutions.

Create and review realistic, domain-specific robotics tasks in Hindi; apply scoring rubrics; evaluate AI and human responses for accuracy, regulatory alignment, and professional quality; and produce gold-standard solutions and expert feedback.

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

Design, develop, operate, and integrate Nike's multi-cloud platform solutions. Lead technical priorities, define engineering best practices, build observability, implement cloud infrastructure using Kubernetes and autoscaling, and collaborate with cross-functional partners to translate business needs into technical solutions.

Lead a cloud infrastructure engineering team to design, build, operate, and govern Nike's multi-cloud platform. Split time between hands-on architecture, development, and automation, and leadership duties including technical strategy, best practices, cross-functional collaboration, mentoring, and translating business needs into cloud solutions.