Top Machine Learning Jobs in Bangalore

Build modular, API-first internal tooling for product creation teams. Design and implement cloud-native services and modern web frontends, collaborate with product and engineering leads, and ensure testing, performance, and architectural best practices.

Design, maintain, and execute manual and automated UI tests (Playwright/TypeScript), perform defect analysis and root-cause investigation, integrate tests into CI/CD (Azure DevOps), validate databases with SQL, apply AI-driven testing techniques, participate in Scrum activities, and coach less-experienced analysts to ensure end-to-end quality of scientific and healthcare products.

Lead design, development, and support of enterprise automation solutions using Automation Anywhere, Power Platform, and Pega. Act as Automation Anywhere SME, create PDDs/SDDs, ensure secure scalable architecture and governance, manage scrum delivery, resolve production issues, and evaluate cognitive automation and ML innovations.

Coordinate development, implementation, and onboarding of digital APM/IIoT solutions. Support software engineering, testing, DevOps, rollout, training, and ongoing maintenance. Contribute to product roadmaps, define requirements, and ensure on-time, on-budget delivery while enabling customers' operational adoption.

Lead development and operation of Nike's multi-cloud access, entitlement, governance, and cost-optimization platform. Drive architecture, roadmap, squad leadership, SLO-driven operations, AI-assisted automation, and cross-region co-ownership while mentoring engineers and ensuring reliable, secure management plane services.

Support design, integration, verification, and testing of hardware, software, and systems. Develop and execute test plans and automated scripts, report defects, build AI-assisted verification frameworks, create data pipelines and dashboards, and maintain test environments for optical networking platforms.

Lead development and implementation of complex control algorithm models (Matlab/Simulink) for HVAC, electrification, and power electronics. Perform transient analysis, MIL/HIL simulation, auto-code generation, partner across teams, evaluate new technologies, drive system-level optimization, mentor team members, and contribute to technology roadmaps and externally funded projects.

Design, implement, and validate advanced control algorithms and real-time software for high-precision mechatronic and semiconductor automation systems. Build dynamic system models, perform system identification and servo tuning, integrate sensors/actuators/controllers, run lab experiments, apply AI/ML for predictive control and diagnostics, troubleshoot system issues, and collaborate cross-functionally through qualification and deployment.

Design and develop analog integrated circuits, utilizing AI/ML tools. Collaborate with teams, conduct simulations, and drive innovation in circuit design.

The Senior Manager will lead a team to enhance Roku's search functionality, manage engineering projects, and ensure system scalability and efficiency.

Technical leader responsible for designing and delivering scalable, high-performance cloud-native systems. Leads complex engineering initiatives, mentors engineers, drives architecture, performance, reliability, observability, and cross-functional collaboration.

Entry/mid-level QA Engineer who designs, maintains, and executes automated and manual tests, refines automation frameworks, performs performance testing, integrates tests into CI/CD pipelines, validates data persistence (SQL/NoSQL), identifies and tracks defects, and collaborates with cross-functional teams in an agile environment to align QA work with product strategy.

The Senior Engineering Manager will lead engineering teams to build scalable infrastructure and products for the Databricks platform, ensuring high technical standards and supporting engineers in their development while collaborating with product leadership.

Design, develop, operate, and integrate Nike’s multicloud infrastructure platforms. Lead technical priorities, establish engineering practices, translate business needs into solutions, and mentor cloud engineers. The role requires hands-on expertise with AWS or other major cloud platforms, Kubernetes, distributed systems, observability, programming, modern software architecture, and cloud platform governance. Preferred experience includes Crossplane and integrating AI, machine learning, generative AI, A2A, and MCP protocols.

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 engineering projects, automation and digitization, new product qualification, and machine/process reliability. Manage budgets, timelines, root-cause troubleshooting, maintenance strategy, and integration of advanced manufacturing technologies. Mentor and develop engineering team, ensure safety and compliance, and coordinate with regional/global stakeholders to drive productivity and operational excellence.

Lead design and build of cloud-native, AI-enabled, enterprise-grade platforms for limits, liquidity, and resource management. Architect high-throughput data and calculation engines, implement resilient workflows, drive platform modernization, provide hands-on technical leadership, mentor engineers, and collaborate with quantitative engineers and product teams.

Design, implement, and operate scalable, secure Azure IAAS/PAAS solutions including networking, landing zones, AKS, IaC with Terraform, CI/CD via Azure DevOps, API Management, security/identity, cost optimization, troubleshooting, and mentorship.

Lead an RPA team to design, develop, test, deploy, and maintain scalable automation bots (UiPath/AA/Blue Prism). Collaborate with stakeholders to assess processes, manage projects, mentor developers, troubleshoot bots, and report progress to senior management.

Early-career Performance Engineer in the Binance Accelerator Program. Perform hands-on performance testing and tuning, design AI-powered test strategies using LLMs and ML, build AI-driven anomaly detection and bottleneck analysis tools, research new AI technologies, and improve reliability of large-scale distributed systems.

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.

Lead customer engagements to develop and deploy digital implementation methodologies from RTL-to-GDSII. Troubleshoot complex tool and flow issues, evangelize new technologies, mentor AEs, collaborate with product and sales teams, and implement ML-based solutions to improve productivity and PPA.

Lead technical direction and delivery for a core NIRA backend domain: design and ship high-volume web APIs, own architecture for distributed and queue-based systems, drive complex initiatives, mentor engineers, lead incident response, champion AI dev tools, and align cross-functionally to simplify systems and influence roadmap.

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

Design and implement robust backend services, APIs, and integrations for an Agentic AI platform. Write and maintain backend code (Python/C#/.NET), implement APIs, databases, containerized deployments, unit tests, and collaborate with frontend and stakeholders to ensure scalable, maintainable enterprise-grade systems.