Top Machine Learning Jobs in Bangalore

Develop and maintain production-ready Java full-stack software using AI-native engineering practices. Design scalable web services and distributed systems, perform testing and debugging, improve code quality, and participate in architecture and code reviews. Collaborate with cross-functional teams, support customers, investigate technologies, and mentor developers. The role requires cloud infrastructure, DevOps, CI/CD, databases, big data, machine learning, and LLM knowledge, along with the ability to lead technical design and implementation.

Leads the design, development, deployment, and maintenance of scalable Java full-stack software and AI workflows across cloud and enterprise platforms. Responsibilities include architecture and code reviews, technical implementation, testing, debugging, documentation, code quality improvement, cross-functional collaboration, customer support, and mentoring developers. The role requires expertise in cloud infrastructure, DevOps, AI modernization, scalable web services, databases, security practices, and translating AI innovation into business value.

Design, deploy, and maintain AI workflows and scalable software across enterprise technology platforms. Lead technical architecture, Java full-stack development, code reviews, testing, debugging, cloud and DevOps initiatives, and software security improvements. Collaborate with cross-functional teams, support customers, mentor developers, investigate emerging technologies, and translate AI modernization opportunities into business impact.

Build and maintain production-ready Java full-stack software using AI-native engineering practices. Lead architecture, technical design, implementation, testing, code reviews, debugging, and cloud-based SaaS delivery. Improve system quality, scalability, security, and operational processes while mentoring developers and collaborating across product, engineering, and customer support teams. The role requires translating AI, automation, and LLM innovations into business and productivity improvements.

Organize deployment of AI workflows across enterprise technology platforms, design scalable software architectures, and implement, test, maintain, and support Java-based applications. Lead architecture and code reviews, improve existing systems, investigate emerging technologies, troubleshoot customer issues, and mentor developers. The role requires cloud, DevOps, AI modernization, full-stack development, database, testing, security, and scalable web-services expertise, along with strong cross-functional communication and technical leadership.

Leads technology delivery, engineering direction, AI transformation, vendor management, and people leadership across clinical development platforms. Owns portfolio delivery for patient engagement, study start-up, clinical data capture, and analytics capabilities. Sets architecture and engineering standards, manages budgets and contractors, establishes delivery metrics, and ensures GxP/GCP compliance, validation, privacy, and inspection readiness. Partners with clinical business stakeholders to prioritize demand, shape roadmaps, and translate technical trade-offs into business outcomes.

Leads validation strategy and automated testing for NAND-based SSD firmware across functional, performance, reliability, interoperability, and customer qualification domains. Develops test plans, frameworks, and continuous validation solutions; debugs NVMe and PCIe issues; analyzes quality risks; and drives cross-functional issue resolution. Partners with hyperscale customers, leads complex programs, mentors engineers, and applies AI, machine learning, and generative AI to improve test coverage, failure analysis, reporting, and validation productivity.

Lead and grow a Physical Design Methodology & CAD team in India to define RTL-to-GDSII flows, automation, sign-off solutions, and AI-driven CAD transformations. Partner globally with architecture, design, verification, infrastructure, and EDA vendors to deliver scalable SoC/ASIC development, improve productivity, quality, and time-to-market.

Designs, develops, integrates, and supports Oracle EPBCS planning solutions for budgeting, forecasting, reporting, and financial close. Configures applications, dimensions, workflows, business rules, integrations, security, and migrations while troubleshooting performance and data issues. Partners with Finance and IT, manages releases and documentation, automates processes, supports PCMCS and EDMCS, and advances the EPM roadmap through scalable cloud architecture and knowledge transfer.

Develops and improves software using C# and Azure, collaborating with stakeholders to define requirements, design solutions, optimize code, and maintain reliable services. Responsibilities include debugging, refactoring, monitoring production systems, responding to incidents, improving observability and performance, and guiding other engineers. The role requires cloud, AI, security awareness, customer engagement, and cross-functional collaboration.

Leads engineering strategy, architecture, modernization, and execution for Walmart’s demand forecasting, inventory positioning, replenishment, and product-flow platforms. Oversees scalable distributed systems, data and machine-learning capabilities, operational excellence, cross-functional dependencies, roadmap delivery, and engineering talent development. Partners with product, data science, supply chain, architecture, and market teams to improve product availability, inventory productivity, and supply-chain efficiency across international markets.

Lead the design, implementation, and optimization of mathematical models and production optimization engines for supply chain and strategic sourcing. Formulate MIP, LP, NLP, network flow, and heuristic algorithms; tune commercial solvers; integrate scalable solutions into a multi-tenant SaaS platform; validate model performance; and mentor engineering and research teams. Collaborate with product and engineering leaders to translate business constraints into reliable, production-grade software.

Design, develop, deploy, automate, and support secure, scalable software applications and infrastructure across Red Hat Linux and AWS environments. Gather requirements, integrate enterprise systems and databases, troubleshoot issues, participate in architecture and Agile/DevOps activities, and drive continuous improvement. The role also involves documentation, stakeholder engagement, testing, quality assurance, mentoring junior engineers, and supporting semiconductor design infrastructure and HPC environments.

Design, develop, and operate cloud-native backend services in Go that support financial risk steering and decision-making. Build ML-powered systems with Data Scientists and ML Engineers, develop distributed and event-driven architectures, and ensure scalable production operations. Participate in code reviews, documentation, knowledge sharing, and cross-functional collaboration with Risk, Engineering, and Data Science teams.

Leads the architecture, development, implementation, and support of scalable R&D technology solutions. Provides hands-on Azure, software engineering, DevOps, integration, and AI leadership; resolves complex technical issues; supports GxP validation, compliance, audits, documentation, UAT, and incident resolution. Collaborates with product teams, architects, QA, business stakeholders, vendors, and partners to deliver secure, reliable, maintainable enterprise applications.

Lead functional safety system architecture for automotive Advanced Safety, UX, and BCM projects. Develop technical safety concepts, requirements, safety analyses, reusable hardware and software safety mechanisms, and supplier assessments. Support SOTIF, STPA, Safe AI/ML, design reviews, gate reviews, customer handoffs, templates, training, and escalations. The role requires extensive ISO 26262, system design, modeling, and automotive product development experience, with up to 5% travel.

Develop and architect scalable EDA tools and workflows for Tegra SoC design automation. Build modular software with robust APIs, improve chip-design productivity through analytics and visualization, integrate AI and ML components, and debug complex issues. The role requires Linux and Perl/Python expertise, software architecture and testing experience, with preferred exposure to RTL verification tools, REST APIs, databases, frontend UX, backend automation, Linux administration, revision control, and Jenkins-based CI/CD.

Leads mainframe modernization and migration initiatives for large global clients. Develops transformation and re-platforming solutions, conducts discovery workshops, presents technical and business cases, advises executives, and partners with sales, consulting, operations, and product teams. Requires extensive mainframe expertise across legacy technologies, migration architecture, data modernization, cloud and hybrid environments, and enterprise hosting. The role also supports AI-driven modernization, technical documentation, project lifecycle management, and client relationship development.

Design and scale observability and reliability frameworks using metrics, logs, traces, predictive analytics, anomaly detection, and machine learning. Establish dashboards, SLAs, SLOs, SLIs, and high-availability architecture for distributed systems. Develop AIOps capabilities for root-cause analysis, predictive capacity planning, alert deduplication, and noise reduction. Mentor engineering teams and communicate complex technical concepts to leadership.

Develop internal engineering tools, platforms, automation, dashboards, telemetry, and AI-powered workflows for Power BI Desktop and Service. Build secure, scalable cloud-native systems, modernize legacy architectures, improve release validation and observability, and integrate GenAI and machine learning into developer workflows. Collaborate globally with product, QA, release engineering, infrastructure, and partner teams to improve engineering productivity, quality, compliance, and delivery insights.

Develop and deploy advanced numerical simulations for aircraft structural design, certification, and in-service support. Perform linear and nonlinear finite element analysis, assess static and dynamic strength, identify design issues, support certification testing, investigate root causes, and optimize manufacturing processes. The role also develops credible simulation methods, automates simulation workflows, and explores AI and machine learning to improve simulation capabilities.

Leads physical implementation of next-generation CPU IPs from floorplanning through signoff. Oversees placement, clock tree synthesis, routing, timing and physical verification, while driving power, performance, and area optimization. Partners with architecture, RTL, CAD, DFT, power, and signoff teams to resolve complex implementation challenges, improve methodologies, adopt automation and AI-driven workflows, mentor engineers, and support planning, hiring, and execution tracking.

Develop and deploy automation frameworks for physical design signoff across RC extraction, STA, ERC, power integrity, and signal integrity. Automate checks, debugging, reporting, and data analysis; resolve signoff issues; improve methodology, convergence, quality, and correlation; collaborate with design, CAD, and EDA vendor teams; and build dashboards to monitor signoff health and project readiness.

Develop and maintain high-performance, scalable risk metrics engines and workflows. Write production-grade backend code, implement cloud-first architectures (AWS), integrate AI-enabled tools, follow CI/CD and testing best practices, and collaborate with quantitative engineers and product managers to support firm-wide risk, liquidity, and trading analytics.

Lead the design and operation of reliable, scalable AWS infrastructure and deployment pipelines using Terraform, Kubernetes, Docker, and CI/CD tools. Establish SLOs, monitoring, observability, incident response, and error-budget practices. Integrate AI, machine learning, and AIOps for anomaly detection, diagnostics, predictive alerting, automation, and capacity planning. Mentor engineers, collaborate with development and data teams, maintain runbooks, and drive cloud-native reliability and DevSecOps improvements.