Top Machine Learning Jobs in Bangalore

Develops and analyzes mechanical and thermal systems through dynamic and steady-state simulation. Writes system and simulation requirements, contributes to architecture, integration, controller design, and real-time measurement and control. Uses MATLAB, Simulink, and Simscape to model aerospace products, including valves, heat exchangers, air conditioning, and refrigeration systems. Collaborates globally, supports R&D and new product development, and applies analytical problem-solving to conceptualize and validate simulation models.

Design and build scalable SDET testing infrastructure for data connectors, parsers, and ingestion platforms. Develop reusable testing frameworks, CI/CD integrations, AI-powered test generation, monitoring and reporting systems, utilities, and testing standards. Lead technical architecture decisions while ensuring quality, reliability, and accuracy across distributed systems. The role requires programming expertise in Python or Go, cloud platform experience, containerization, orchestration, and scalable automation framework development.

Design and deliver end-to-end packet core and 5G core solutions, optimize network performance, collaborate with product, R&D and customer teams, lead transformations, perform protocol and data analysis, and support deployment and knowledge transfer.

Designs and develops scalable web-based automation platforms for manufacturing partners and business operations. Responsibilities include architecture, system integration documentation, troubleshooting, root-cause analysis, testing, production support, and delivery of enterprise software solutions. The role requires Python and broad backend, frontend, database, cloud, API, AI, and machine learning expertise, along with experience integrating AI capabilities into applications and workflows.

Designs, develops, operates, and scales secure data platforms, backend systems, pipelines, and distributed services. Provides technical leadership, reviews code, influences architecture, and serves as a subject matter expert in data processing, storage, and reliability. Leads enterprise adoption of AI-assisted engineering and SDLC automation by establishing governance, security controls, quality gates, and measurable outcomes. Collaborates across global teams and promotes scalable engineering practices and technologies.

Develops and integrates radiating components and passive radiation-pattern structures for multiband base-station antennas. Responsibilities include 3D and 2D electromagnetic simulation, prototype RF measurements, performance optimization, troubleshooting, technical documentation, and supporting the product lifecycle through mass production. The role collaborates with international cross-functional teams and requires relocation to Rosenheim, Germany.

Develop and maintain automated tests and in-house frameworks (C#/Selenium); use AI-assisted testing and basic ML insights for test generation and analysis; detect, log, and troubleshoot defects; maintain test scripts, procedures, and test artifacts; collaborate with teams on root cause analysis.

Build, implement, test, maintain, and improve production-ready Java full-stack software using AI-native engineering practices. Lead architecture and technical design for scalable web services, conduct code and architecture reviews, troubleshoot complex issues, support customers, and improve software quality. Collaborate across teams, mentor developers, investigate emerging technologies, and drive cloud, DevOps, AI modernization, automation, and LLM initiatives.

Leads the design, development, testing, deployment, and support of scalable Java full-stack software. Provides technical direction for SaaS products, leads architecture and code reviews, mentors developers, improves existing codebases, and drives cloud, DevOps, and AI modernization initiatives. Collaborates across functions, investigates emerging technologies, supports customers, and ensures software quality, security, performance, and compliance.

Build and maintain production-ready Java full-stack software using AI-native engineering practices. Responsibilities include technical design, implementation, testing, architecture and code reviews, system quality improvements, debugging, documentation, customer support, and mentoring. The role leads scalable web service development, cloud and DevOps initiatives, software security, CI/CD, and cross-functional technical delivery while translating AI and automation opportunities into business impact.

Develop and maintain scalable, production-ready Java full-stack software and cloud-based distributed systems. Lead technical design, architecture, implementation, testing, debugging, code reviews, and quality improvements. Collaborate across functions, mentor developers, support customers, evaluate emerging technologies, and drive AI-native engineering practices, DevOps modernization, automation, and productivity improvements.

Build and ship production-ready AI-native software using Java full-stack development. Lead architecture, design, implementation, testing, debugging, and maintenance of scalable web services and distributed systems. Guide technical direction, conduct code and architecture reviews, mentor developers, improve software quality, and support customers. Work with cloud infrastructure, CI/CD, DevOps, databases, big data, machine learning, and LLM toolchains while collaborating across product and engineering teams.

Build and maintain production-ready Java full-stack software using AI-native engineering practices. Lead architecture, technical design, implementation, testing, debugging, code reviews, and quality improvements for scalable web services and distributed systems. Work with cloud infrastructure, DevOps, databases, big data, and security tools while mentoring developers and collaborating across functions. Translate AI, automation, and LLM capabilities into business and productivity improvements.

Build, ship, and maintain production-ready Java full-stack software using AI-native engineering practices. Lead technical design, architecture, implementation, testing, code reviews, debugging, and quality improvements for scalable web services and distributed systems. Work with cloud infrastructure, DevOps, databases, big data, LLMs, and automation. Mentor developers, collaborate cross-functionally, support customers, evaluate emerging technologies, and translate AI innovations into business and productivity improvements.

Lead the design, development, testing, maintenance, and support of scalable Java full-stack software and cloud-based distributed systems. Provide technical direction, architecture and code reviews, mentorship, documentation, debugging, and cross-functional collaboration. Drive AI-native engineering practices, cloud and DevOps modernization, quality improvements, security, and adoption of emerging technologies while translating AI innovations into business and productivity impact.

Build and ship production-ready, AI-enabled software using Java full-stack development. Lead architecture, design, implementation, testing, debugging, and maintenance of scalable web services and distributed systems. Guide technical direction, improve code quality, conduct reviews, mentor developers, and collaborate across teams. Work with cloud infrastructure, CI/CD, big data, security tools, and AI engineering toolchains while supporting customer-facing technical issues.

Lead the design, development, testing, deployment, and support of scalable Java full-stack software and distributed systems. Define technical direction, create design specifications, conduct architecture and code reviews, improve system quality, and mentor developers. Work with cloud infrastructure, CI/CD, DevOps, AI modernization, LLMs, databases, big data, and web services while collaborating across product, engineering, and customer support teams.

Build and ship production-ready AI-native software, primarily using Java full-stack development. Responsibilities include designing, implementing, testing, maintaining, and supporting scalable web services; leading architecture and code reviews; improving system quality; mentoring developers; and driving cloud, DevOps, AI modernization, and distributed-systems initiatives. The role requires collaboration across technical and business teams, independent decision-making, and translating AI innovation into measurable business and productivity impact.

Build and maintain production-ready Java full-stack software using AI-native engineering practices. Lead architecture, design, implementation, testing, debugging, and code reviews for scalable distributed systems and cloud-based SaaS products. Develop technical specifications, improve existing codebases, support customers, investigate technologies, and drive quality and compliance. Mentor developers and collaborate across product, engineering, and customer-facing teams while leading cloud, DevOps, AI modernization, and technical strategy initiatives.

Build and maintain production-ready Java full-stack software and scalable web services using AI-native engineering practices. Lead technical design, architecture, implementation, testing, debugging, code reviews, and cloud DevOps initiatives. Improve existing systems, ensure quality and compliance, mentor developers, support customers, and collaborate across teams. The role requires experience with distributed systems, cloud infrastructure, databases, CI/CD, security, testing, AI modernization, and translating AI capabilities into business impact.

Lead the design, development, testing, maintenance, and modernization of scalable Java full-stack and cloud-based software. Establish technical direction, review architecture and code, improve system quality, investigate emerging technologies, and support production issues. Mentor engineers, guide cross-functional initiatives, and translate AI, automation, and cloud innovations into business impact. The role requires extensive experience with Java, distributed systems, cloud infrastructure, DevOps, big data, secure software practices, and highly available web services.

Build and maintain production-ready Java full-stack software using AI-native engineering practices. Lead architecture, design, implementation, testing, debugging, and performance improvement for scalable web services and distributed systems. Work with cloud infrastructure, DevOps, CI/CD, databases, big data, and AI technologies. Provide technical direction, conduct code and architecture reviews, mentor developers, support customers, and collaborate across teams to deliver secure, high-quality software products.

Build and maintain production-ready, scalable Java full-stack software using AI-native engineering practices. Responsibilities include technical design, architecture and code reviews, implementation, testing, debugging, codebase improvement, cloud and DevOps integration, quality and compliance enhancement, and technical documentation. The role leads complex projects, mentors developers, collaborates cross-functionally, supports customers, evaluates emerging technologies, and translates AI and automation innovations into business impact.

Build and maintain production-ready Java full-stack software using AI-native engineering practices. Responsibilities include designing scalable web services, implementing and testing software, conducting architecture and code reviews, improving existing systems, debugging distributed cloud applications, and supporting customers. The role requires technical leadership, cross-functional collaboration, mentoring, and expertise in cloud infrastructure, DevOps, security, databases, big data, machine learning, and LLM-based automation.

Build and maintain production-ready Java full-stack software using AI-native engineering practices. Responsibilities include designing scalable web services, implementing and testing software, improving code quality, debugging distributed systems, conducting architecture and code reviews, supporting customers, and mentoring developers. The role requires cloud, DevOps, database, security, testing, and big-data expertise, with opportunities to guide technical direction and collaborate across product and engineering teams.