Top Machine Learning Jobs in Hyderabad

Develop and implement numerical and computational models (structure, materials, process) to support DRAM and NAND node development. Collaborate with process and product teams, create modeling tools and algorithms, analyze results, and present insights to engineering teams and leaders for silicon implementation.

Develop and implement smart manufacturing and process control solutions for semiconductor assembly. Responsibilities include data analysis, process modeling, machine learning, closed-loop Run-to-Run control, system integration, requirements definition, technical support, mentorship, and training. The role collaborates with process teams to improve manufacturing capability, quality, and efficiency, while supporting network-wide implementation and AI-enabled predictive systems.

Develop scalable, secure, and maintainable cloud observability services using Golang. Build systems that ingest logs, traces, and metrics; create APIs for analytics; optimize performance; and integrate front-end features. Collaborate with DevOps and infrastructure teams on deployment and monitoring. Responsibilities span requirements analysis, design, development, testing, deployment, support, and maintenance. The role requires experience with Go tooling, Docker, Kubernetes, microservices, React, version control, and continuous integration.

Develop scalable, robust cloud observability services in Golang. Build systems that ingest logs, traces, and metrics; create analytics APIs; optimize performance; integrate front-end components; and support production deployment with DevOps teams. Responsibilities span requirements analysis, architecture, development, testing, deployment, maintenance, and secure solution design. The role requires strong Go expertise, containerization, orchestration, microservices, software testing, version control, and continuous integration experience.

Develop and customize mechanical design automation solutions for aerospace products, improving design cycle times and execution quality. Create template-based designs, product-level automations, CAD customizations, parametrized models, and drafting solutions using NX and Creo. Integrate Teamcenter and third-party applications, develop customizations, support analysis and simulation, and drive design improvements. Collaborate independently and cross-functionally while contributing to customer-focused design solutions, intellectual property, and process enhancements.

Develop centralized semiconductor quality screening and lot-disposition systems, assess wafer quality and reliability risks, analyze manufacturing data, and create statistical monitoring and automation solutions. The role supports defect containment, CAPA, global quality standardization, dashboards, AI and machine-learning initiatives, audits, and continuous improvement across Micron’s worldwide wafer-fabrication network.

Lead the design, development, and maintenance of scalable .NET microservices across Azure and AWS. Establish CI/CD, automated testing, infrastructure as code, and cloud optimization practices. Diagnose application issues, improve scalability and availability, and provide technical leadership through architecture, code reviews, design documentation, mentoring, and proof-of-concept development. Build solutions using Kubernetes, Cosmos DB, Azure services, modern front-end frameworks, AI tools, and RESTful APIs.

Manage verification for complex DRAM design projects, develop methodologies, lead teams, provide technical advice, and enhance AI-driven verification processes.

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.

Leads a semiconductor RDA team focused on defect detection, process anomaly identification, inspection technology development, data analysis, and continuous improvement for NAND technology development. Partners with process integration, data science, yield analysis, suppliers, and global manufacturing teams to develop inspection roadmaps, improve detection techniques, manage projects, establish program metrics, and transfer best-known methods across sites. Mentors engineers and drives root-cause analysis, innovation, and technical problem solving.

Monitor inline defectivity, analyze process and defect data, investigate anomalies, and drive corrective actions and continuous improvement in semiconductor manufacturing. The role uses inspection and metrology tools, supports experimentation and baseline health monitoring, collaborates with global manufacturing and yield teams, and helps transfer technologies into production while improving process quality and yield.

Build and ship production-ready software using AI-native engineering practices. Design, implement, test, maintain, and support scalable Java full-stack applications and distributed systems. Lead architecture and code reviews, improve system quality, investigate new technologies, and collaborate across teams. The role includes mentoring developers, working with cloud infrastructure and DevOps toolchains, debugging complex systems, and translating AI, automation, and LLM innovations into business and productivity impact.

Build and ship production-ready Java full-stack software using AI-native engineering practices. Responsibilities include designing, implementing, testing, maintaining, and improving scalable web services and distributed systems; leading architecture and code reviews; supporting cloud, DevOps, and AI modernization initiatives; debugging complex systems; mentoring developers; and collaborating with customers and cross-functional teams.

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. Drive cloud, DevOps, and AI modernization initiatives while mentoring developers, improving code quality, supporting customers, and translating AI capabilities into business impact. Collaborate across engineering, product, and stakeholder teams to deliver secure, reliable solutions.

Build and ship production-ready AI-native software using Java full-stack development. Responsibilities include designing, implementing, testing, maintaining, and optimizing scalable web services and distributed systems; conducting architecture and code reviews; improving quality and security; supporting cloud infrastructure and CI/CD; mentoring developers; investigating emerging technologies; and collaborating across product, engineering, and customer support teams.

Lead the design, development, testing, maintenance, and support of scalable Java full-stack software and distributed cloud systems. Provide technical direction, architecture and code reviews, mentoring, knowledge transfer, troubleshooting, and continuous quality improvement. Collaborate across engineering, product, customer support, and other stakeholders while advancing AI-native development, DevOps, cloud modernization, automation, and secure software practices.

Lead Windows device fundamentals engineering, defining strategy and roadmaps for reliability, compatibility, performance, battery life, and sustainability. Manage complex cross-stack initiatives spanning hardware, firmware, operating systems, services, and applications. Use telemetry, experimentation, debugging, and statistical analysis to guide decisions, while recruiting, coaching, and retaining engineers and partnering with OEMs, silicon vendors, and Windows teams.

Leads global commercial engineering strategy and the Hyderabad technology center for pharmaceutical commercialization platforms. Oversees software, platform, cloud, data, AI, integration, and quality engineering teams; drives secure, reliable, scalable delivery across CRM, customer engagement, marketing, analytics, and field-facing systems. Establishes architecture and engineering standards, develops technical leadership, manages workforce planning and budgets, insources capabilities, reduces technical debt, and partners with senior business leaders to deliver measurable commercial outcomes.

Designs, builds, scales, and maintains cloud-native AI agent platform services across Azure, Microsoft Entra, and Microsoft 365. Develops and optimizes C++ or C# code, collaborates with stakeholders, creates technical designs, supports releases, monitors production systems, and improves reliability, observability, security, and performance. The role involves big data, machine learning, NLP, search, threat analysis, penetration testing, customer engagement, and cross-functional collaboration.

Designs, builds, scales, and operates cloud-native software platforms for deploying and securing AI agents across Microsoft Cloud. Responsibilities include coding, debugging, optimization, system design, dependency management, reliability engineering, monitoring, incident response, and cross-functional collaboration. The role requires C++ or C# development experience, familiarity with big data, ML, NLP, search, Azure, Microsoft Entra, and Microsoft 365, plus security practices such as threat analysis and penetration testing.

Lead hands-on development of scalable, secure enterprise applications and data-driven solutions. Architect backend and frontend systems, establish automated testing and coding standards, maintain CI/CD quality gates, optimize databases and analytics platforms, and guide cloud-native microservice development. Mentor junior engineers, promote technical excellence, and collaborate cross-functionally while potentially progressing toward engineering management.

Develops and maintains software products, applications, services, and platforms. Responsibilities include gathering requirements, designing solutions, writing and optimizing code, debugging, improving reliability and observability, supporting releases, monitoring systems, responding to incidents, and collaborating with customers, project managers, and engineering teams. The role uses C++, C#, cloud services, AI, machine learning, NLP, big data, and search technologies.

Leads the design and operation of scalable backend services, telemetry systems, data pipelines, and diagnostic workflows for Windows device health. Defines metrics and measurement strategies, analyzes large-scale telemetry, investigates regressions and customer impact, and translates findings into engineering improvements. Establishes reliability, security, observability, and data-quality standards while mentoring engineers and influencing architecture across Windows, data science, security, silicon, OEM, and service teams.

Leads the strategy, architecture, and execution of Windows Fundamentals backend services, telemetry platforms, data pipelines, analytics, and diagnostic capabilities. Builds and manages a senior engineering organization, establishes reliability and security standards, drives large-scale systems improvements, and uses telemetry, experimentation, automation, and AI-assisted analysis to improve Windows health. The role also requires cross-organizational alignment, portfolio planning, talent development, and operational accountability.

Defines technical strategy and architecture for Windows Fundamentals backend services, telemetry platforms, data pipelines, metrics, and diagnostic systems. Leads scalable distributed systems, reliability, security, observability, analytics, and automation initiatives. Investigates complex Windows health issues, influences cross-team technical decisions, mentors senior engineers, and applies AI-assisted capabilities to improve engineering efficiency and product reliability at scale.