Top Machine Learning Jobs in Bangalore

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.

Leads enterprise SRE and AIOps initiatives across large-scale applications. Designs, codes, tests, documents, and automates resilient cloud-native systems; establishes observability, monitoring, SLO/SLI, and incident-management practices. Develops self-healing capabilities using AI/ML, improves availability and recovery time, supports critical incidents, conducts postmortems and root-cause analysis, and mentors engineers. Partners with application teams to advance SRE adoption, tooling, automation, and reliability across a multi-cloud environment.

Leads software engineering delivery within an agile team, designing, developing, testing, debugging, and supporting secure, scalable applications. Establishes effective and responsible AI-assisted engineering practices, including code generation, review, testing, troubleshooting, and validation. Automates recurring remediation, improves operational stability, evaluates vendor and startup technologies, and contributes to AWS web application development, Java engineering, cloud deployments, DevOps, and machine learning or LLM integrations.

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.

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 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.

Perform end-to-end system verification of Ericsson 5G RAN solutions, including capacity, performance, scalability, mobility, and high-load traffic testing. Analyze logs, traces, KPIs, and protocol-layer behavior; troubleshoot PHY/MAC/RLC/PDCP/IP issues and identify root causes. Support feature integration, test automation, verification frameworks, and CI/CD improvements. Collaborate with development, integration, CI, and product teams while applying modern and AI-assisted verification methods.

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.

Defines and governs the end-to-end technology strategy, architecture roadmap, standards, and design governance for PCS Digital applications. Provides senior technical authority across cloud-native architecture, cybersecurity, reliability, observability, lifecycle management, modernization, and operational readiness. Partners with product, engineering, clinical, regulatory, quality, and service stakeholders to align architecture with customer, patient safety, compliance, and business needs. Mentors senior technical leaders and influences enterprise decisions without direct reporting authority.

Leads the long-term architecture and technical strategy for Uber’s Rider mobile applications, client platforms, edge capabilities, and backend services. Establishes standards for performance, reliability, testing, observability, build systems, and release quality. Builds reusable frameworks and developer tools, leads major migrations, defines client-server contracts, and drives complex cross-organizational initiatives. Influences senior stakeholders and enables multiple engineering teams to deliver scalable, high-quality rider experiences.

Leads validation strategy and automated testing for NAND-based SSD firmware across functional, performance, reliability, interoperability, and customer qualification domains. Develops test plans and automation frameworks, debugs NVMe and SAS issues, analyzes quality risks, and drives issue closure with cross-functional engineering teams and hyperscale customers. Applies AI and machine learning to test generation, failure analysis, anomaly detection, reporting, and predictive quality. Mentors engineers and leads complex validation programs.

Develop and maintain DirectX graphics drivers for NVIDIA GPUs, develop graphics and AI-based rendering features, and build AI-agent automation for debugging, testing, triage, code analysis, documentation, and developer productivity. Collaborate across teams to deliver software objectives while improving quality and engineering workflows.

Owns architecture for Swiggy’s high-scale ordering, checkout, pricing, assortment, and fulfillment platforms. Leads technical vision, distributed systems design, production operations, incident response, cost and performance optimization, developer platforms, cross-company integrations, and applied ML/GenAI architecture. Requires hands-on coding, end-to-end lifecycle ownership, and technical leadership across complex, high-throughput consumer systems.

Lead technical vision and architecture for large-scale, low-latency data systems; contribute hands-on to core code and production support; drive cross-team alignment; mentor engineers; refine data pipelines and CI/CD; apply AI tools to improve workflows; collaborate with Ads and Bing to integrate shared infrastructure and deliver reliable, scalable platforms.

Designs and implements end-to-end robotic process automation solutions using Microsoft RPA, Blue Prism, Automation Anywhere, scripting, cognitive technologies, and API integrations. The role develops automation architectures, process flows, reusable frameworks, coding standards, and technical documentation for banking processes including KYC, AML, trade settlement, reconciliation, and regulatory reporting. It also leads and mentors a small team, advises business and technology stakeholders, and may require rotational shifts.

Leads architecture and delivery of secure IT/OT, industrial connectivity, edge computing, industrial data, and Industrial AI solutions for smart manufacturing programs. Defines plant-to-cloud architectures, integrates OT systems with enterprise platforms, establishes data and cybersecurity standards, and leads AI/ML use cases. Oversees site assessments, proof-of-concepts, governance, technical delivery, client engagements, proposals, vendor coordination, and global multidisciplinary teams.

Leads robotic process automation solutions using Microsoft RPA, Blue Prism, and Automation Anywhere. Designs end-to-end automation architectures, process flows, reusable frameworks, coding standards, and technical documentation for banking processes including KYC, AML, reconciliation, trade settlement, regulatory reporting, and customer onboarding. Develops automation with scripting, cognitive RPA, APIs, OCR, NLP, and machine learning. Manages and mentors a small team while advising infrastructure, compliance, operations, and business stakeholders.

Leads, hires, mentors, and develops software engineering teams while providing technical direction and architectural oversight. Drives delivery of scalable back-end, full-stack, platform, integration, data, and AI-enabled systems. Partners with product, architecture, program management, and data teams to establish roadmaps, remove blockers, improve engineering practices, and ensure reliable production operations through CI/CD, observability, testing, security, and incident management.

Lead development of ARM-based SoC subsystems using Cadence design, verification, and emulation platforms. Build and port systems to Palladium and Protium, ensure functional correctness, analyze hardware-software performance, and recommend improvements. The role requires deep RTL development and verification experience, expertise in AMBA and CHI protocols, SoC integration knowledge, and emulation experience. Familiarity with PCIe, CXL, and automated integration and verification methodologies is beneficial.

Designs and develops end-to-end robotic process automation solutions using Microsoft Power Automate and other RPA tools. Responsibilities include analyzing complex automation problems, designing solution architectures and process flows, writing scripts and code, integrating OCR, NLP, ML, AI, and APIs, and creating technical documentation. The role collaborates with sales, offering, delivery, peers, clients, and management, may oversee a small work effort, and may require rotational shifts.

Designs and develops end-to-end robotic process automation solutions using Microsoft Power Automate and other RPA tools. Responsibilities include analyzing business processes, designing automation architectures and workflows, writing scripts and code, integrating OCR, NLP, machine learning, AI, and APIs, and creating technical documentation. The role collaborates with sales, offering, delivery, peers, clients, and management, may oversee a small team or work effort, and may require rotational shifts.

Develop and ship Yahoo Mail mobile features for Android, owning projects from technical design through deployment, monitoring, and improvement. Build scalable solutions using Kotlin, Java, Android frameworks, Jetpack Compose, and React Native; integrate APIs; address performance, reliability, and usability challenges; conduct code reviews; collaborate cross-functionally; mentor teammates; and use AI development tools to improve engineering productivity while maintaining quality and security.

Leads architecture and development of a cloud-based, multi-tenant network management platform. Responsibilities include building AI/ML network analytics, enterprise integrations, high-throughput telemetry processing, zero-trust security, APIs, edge gateways, scalable distributed systems, and hybrid cloud solutions. The role mentors engineering teams, establishes software development practices, optimizes performance, and works with enterprise customers on complex integrations. Requires extensive software development and network management experience, strong networking expertise, and knowledge of major network vendors.