Top Machine Learning Jobs in Hyderabad

Work in a cross-functional team to develop, implement, and apply numerical and multi-physics models for materials, structures, and processes supporting memory development. Use scientific computing, computational materials methodologies, and ML techniques to analyze results, report findings, and collaborate on next steps. Position is temporary (up to 12 months).

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.

Develop and deploy digital twins, multiphysics and structural models, and physics-informed AI to predict and optimize semiconductor process-structure-performance interactions. Apply computational materials science, ML, GenAI/LLMs, and sparse-data methods to accelerate technology development, yield, and reliability. Collaborate with global engineering teams to translate modeling insights into fab-technology co-optimization.

Lead advanced structure and stress modeling using FEA and level set methods; develop constitutive and thermo-mechanical models; apply scientific computing and ML concepts; use Abaqus/ANSYS for analysis; document results, write reports and collaborate across teams; semiconductor industry experience desirable.

Lead software engineering initiatives involving custom SaaS solutions, architecture, cloud platforms, AI-driven applications, and scalable software delivery. Responsibilities include technical leadership, project oversight, mentoring engineers, stakeholder collaboration, product direction, and hands-on design and development. The role requires expertise in software engineering practices, cloud infrastructure, CI/CD, containers, infrastructure as code, databases, security, and Generative and Agentic AI.

Develops, integrates, and improves automated systems and applications to increase efficiency, revenue, and quality. Collaborates with stakeholders and clients, leads test automation and performance testing, builds resilient CI/CD pipelines, troubleshoots complex issues, conducts code reviews, documents processes, and provides technical guidance to junior engineers. The role also evaluates lab processes for automation opportunities and supports delivery against contracted KPIs.

Designs and documents scalable enterprise solutions, leads project architecture, guides engineering teams, and ensures integration, performance, quality, and compliance with enterprise standards. Collaborates across product, strategy, engineering, and architecture teams; evaluates SaaS vendors; contributes to technology roadmaps and reusable architecture patterns; and drives responsible AI and machine learning adoption within the domain.

Designs and executes testing for data projects, including ETL flows, data warehouses, transformations, aggregations, reconciliations, and BI reports. Creates SQL and Python test scripts, maintains regression suites, validates data quality, supports user acceptance testing, identifies defects, and collaborates with engineering and analytics teams. The role also involves testing AI agents and machine learning/MLOps frameworks, documenting test activities, and supporting reliable data engineering processes.

Develop scalable cloud search and platform features for Microsoft 365 Copilot and Copilot Search. Responsibilities include designing high-performance services, managing live cloud systems, optimizing distributed search infrastructure, and collaborating with product managers and partner teams to deliver rich enterprise search experiences.

Develop and maintain scalable Python backend applications using FastAPI, Django, APIs, microservices, databases, asynchronous processing, and event-driven architectures. Design efficient solutions, optimize performance, write automated tests, implement secure and maintainable code, and contribute to CI/CD deployments. Collaborate with product and engineering teams, participate in requirements gathering, analyze risks, estimate work, improve coding standards, and guide team members.

Lead a team to develop and apply next-generation defect detection equipment and processes, accelerate technology transfer, mentor staff, analyze experiments and defects, build detection techniques, manage cross-functional projects, define program health metrics, and collaborate globally to improve process yield. Data analysis, ML, and statistical modeling expertise is an advantage.

Develop and maintain embedded software using Python and Java; design, test, debug, and verify software integrated with hardware components. Participate in code reviews, documentation, Agile development, and software quality activities. Provide technical support and collaborate with cross-functional teams. Experience with databases, data science, machine learning, configuration management, IEC-61850, and HVDC systems is beneficial.

Develop, test, debug, and maintain embedded software using Python and Java. Collaborate with hardware and embedded engineering teams, perform software verification and validation, participate in code reviews, document designs and tests, and support product quality and reliability. The role also involves database use, Agile development, technical troubleshooting, and cross-functional collaboration. Familiarity with IEC 61850, HVDC systems, and configuration management tools is advantageous.

Leads and scales Regeneron’s G&A Digital & Technology organization in Hyderabad. Oversees enterprise application development, integration, testing, release management, production support, and operational excellence across HR, Finance, Legal, Compliance, Analytics, AI, and other corporate functions. Builds global delivery capabilities through hiring, organizational design, talent development, governance, vendor management, and succession planning. Partners with senior business and technology leaders to establish roadmaps, improve reliability and quality, manage risk, and advance AI-enabled automation.

Designs and maintains secure cloud-native platforms, infrastructure-as-code, CI/CD pipelines, observability, automation, and DevSecOps controls across AWS or Azure. Develops scripting and configuration-management solutions, optimizes platform performance and costs, manages secrets and compliance, and collaborates with engineering, security, SRE, and architecture teams. Applies AI/ML and AIOps capabilities for anomaly detection, predictive monitoring, and infrastructure optimization.

Own and improve the Command|Alert alerting platform, including rule evaluation, anomaly detection, event correlation, reliable Kafka and OpenSearch pipelines, and downstream notifications. Convert security and network telemetry into usable topologies and dependency maps, support LLM-based alert generation, resolve production issues, lead reliability improvements, deliver independent projects, and mentor engineers while shaping technical direction.

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.

Manage backend software development teams building reliable, scalable applications with Node.js and TypeScript. Lead system integrations across cloud and on-premises environments, oversee APIs, databases, transaction handling, failure recovery, validation, retries, and cloud services. Support AI and machine learning capabilities, distributed system architecture, security, troubleshooting, and performance optimization. The role is primarily based in Hyderabad with remote flexibility and requires collaboration across departments.

Leads the creation and scaling of AmeriSave’s India technology organization, including recruiting, engineering culture, architecture, software platforms, cloud infrastructure, AI initiatives, security, budgets, and global collaboration. The CTO partners with U.S. executives, oversees distributed engineering teams, drives delivery and operational excellence, and aligns technology strategy with business goals. The role requires extensive executive leadership, India team-building experience, software engineering depth, cloud expertise, and experience with AI and emerging technologies.

Lead a software engineering team developing Windows device optimizations across hardware, firmware, operating system, services, and applications. Set technical direction and roadmap, guide complex performance, reliability, debugging, power, and telemetry initiatives, and deliver reliable solutions at scale. Hire, coach, and retain engineers while collaborating with Windows teams, OEMs, silicon vendors, hardware partners, and senior stakeholders.

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.

Designs and develops content governance platforms, anti-abuse tools, rule engines, and scalable governance pipelines. Integrates recommendation systems, implements content takedown policies, and builds capabilities for content review, risk detection, policy enforcement, and effectiveness analysis. The role addresses spam, fraud, traffic diversion, low-quality content, and black- or gray-market activity while collaborating with product, operations, algorithm, and business teams.

Lead and technically drive multiple teams to design, build, and operate large-scale distributed web and cloud services. Influence product vision, adopt AI/ML (including LLMs and agentic frameworks), ensure service health, deliver high-quality results, hire and mentor engineers, and collaborate across product and services groups.

Lead and grow an engineering team responsible for Wi-Fi optimization, device management, provisioning, lifecycle, and cloud connectivity control systems. Own the roadmap, architecture, delivery, reliability, hiring, coaching, and performance of 8–12 engineers. Drive cross-functional execution, customer escalations, standards strategy, design reviews, coding, and large-scale operational decisions across embedded, cloud, and networking systems serving tens of millions of devices.

Design, develop, and maintain high-performance, secure Java backend services and APIs. Ensure reliability, scalability, and cost-efficiency across microservices, databases, messaging systems, and capacity planning. Troubleshoot, profile, benchmark, and optimize systems (including ML applications) and collaborate with Kazakhstan stakeholders.