Top Machine Learning Jobs in Hyderabad

Lead design and implementation of enterprise observability and telemetry solutions across on-prem and cloud. Develop, test, and document large-scale infrastructure software, set standards and best practices, mentor teams, and champion AI-driven observability features like anomaly detection and guided root-cause analysis.

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).

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

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.

Lead technical design, develop secure high-quality production code, drive automation and CI/CD, mentor teams on AI-assisted engineering, ensure operational stability, manage stakeholders, and evaluate vendor/architectural solutions within financial services.

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.

Build data-driven solutions and BI using Python, Power BI, and SQL. Implement DevOps pipelines with GitHub Actions/Azure DevOps, deploy on Azure/AWS, integrate APIs, apply unit testing and automation, and collaborate in Agile/Scrum with global teams. Support solution design, effort estimates, and use ML/DL/LLMs for intelligent features.

Lead design, implement, test, and maintain scalable custom software solutions using Java full-stack. Drive architecture, mentor developers, integrate cloud and big-data services, participate in reviews, and support CI/CD, security, and production debugging to deliver enterprise-grade SaaS products.

Design, implement, test, and maintain scalable custom software solutions (Java full-stack) for large enterprise environments. Lead architecture and code reviews, improve system quality, mentor developers, integrate cloud and big-data services, and support DevOps/CI-CD practices to deliver high-performance SaaS applications.

Lead design, implementation, and improvement of scalable custom software solutions. Produce technical designs, implement and test code, maintain and debug distributed systems, mentor developers, participate in architecture and code reviews, and support production issues. Drive cloud, DevOps, and AI modernization initiatives while integrating databases, event buses, and front-end components as needed.

Design, develop, test, and maintain scalable Java full-stack applications and web services. Lead architecture and implementation, mentor developers, work with cloud (AWS/Azure), CI/CD and DevOps, integrate databases and event buses, improve system quality, investigate new technologies, and support customers and cross-functional teams.

Design, implement, test, and maintain scalable custom software and web services using modern frameworks. Produce technical designs and knowledge transfer materials, participate in architecture/code reviews, debug distributed/cloud systems, improve codebase quality, mentor developers, and collaborate with cross-functional teams to deliver SaaS solutions.

Lead design, implement, test, and maintain scalable custom software solutions. Create technical designs, review code, mentor developers, participate in architecture reviews, work with cloud SaaS and DevOps pipelines, integrate big data and event systems, and support customers and cross-functional teams.

Designs, writes, refactors, tests and reviews application and framework components. Mentors peers, delivers training, and estimates work. Develops and maintains tools to automate release processes. Continuously improves coding standards, participates in design, and delivers high-quality, on-time solutions using .NET, Azure, and AI/ML technologies.

ValGenesis is hiring software engineers at all levels, focusing on collaboration and innovation. Roles require 2 to 12 years of experience across various engineering disciplines.

The Forward Deployed Engineer is responsible for designing, developing, and deploying agent-based AI solutions using the Workato platform, collaborating with cross-functional teams and ensuring efficient AI workflows for enhanced IT operations.

Lead and architect software solutions, design and implement features, maintain and tune existing high-revenue products, perform analysis and code reviews, troubleshoot complex problems, and collaborate with stakeholders while participating in Agile/scrum ceremonies.

Design and implement scalable backend services, lead full software lifecycle, write design docs, mentor engineers, collaborate cross-functionally, improve performance and quality, and integrate AI tools to boost development productivity.

Lead and mentor a data science team, develop ML solutions, drive AI/ML initiatives, ensure model performance and fairness, and foster innovation.

Develop and maintain DirectX graphics drivers for NVIDIA GPUs, design new OS and GPU features, improve graphics and AI-based rendering, build AI-driven engineering automation and agent-based tooling, collaborate across teams to drive software objectives and quality improvements for gaming and graphics workloads.

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.

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 an 8-10 engineer team owning courier systems (dispatch, matching, pricing, ETA). Set technical direction, drive data-driven decisions and experiments, partner with data science, ensure reliability and scalability of low-latency distributed systems, and own hiring, performance, and operational excellence.

Lead engineering organization to define and execute technology strategy, oversee delivery of scalable cloud-native solutions, implement SRE and CI/CD practices, drive legacy modernization, adopt AI/ML and analytics, build high-performing teams, manage vendors, and align technical execution with business objectives.