Top Machine Learning Jobs in Hyderabad

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

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.

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 and support a scrum team by delivering new code, triaging defects, ensuring application availability and stability, conducting integration/regression/performance testing, deploying to test and production, liaising between business and technical teams, and providing rotational weekend production support. Drive API and microservices architecture, CI/CD/DevOps practices, and adoption of AI in daily workflows.

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.

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).

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

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.

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.

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 architecture and development of the core native iOS SDK and related apps. Own feature delivery from design to public release, write high-quality tested code, collaborate with R&D and ML teams, support customers to resolve issues, and manage priorities across large-scale, distributed projects.

The GIS Manager will lead geospatial initiatives for catastrophe risk modeling, managing teams, and overseeing project execution and data management.

Lead engineering projects, automation and digitization, new product qualification, and machine/process reliability. Manage budgets, timelines, root-cause troubleshooting, maintenance strategy, and integration of advanced manufacturing technologies. Mentor and develop engineering team, ensure safety and compliance, and coordinate with regional/global stakeholders to drive productivity and operational excellence.

Design, implement, and optimize enterprise search solutions using Elasticsearch; manage clusters, replication, sharding, backup/recovery; develop semantic search with BERT-based models; improve relevancy through role-based indexing and boosting; integrate search with knowledge management tools; monitor performance for scalability and observability; collaborate with cross-functional teams.

The role involves developing enterprise applications using Java and Spring, integrating AI features, mentoring junior developers, and collaborating with cross-functional teams.

Lead design, develop, test and support SAP ABAP solutions, deliver RICEFW objects, integrate SAP with third-party systems, optimize performance, produce technical documentation, mentor junior developers, and help adopt AI/automation in the SAP ecosystem.

Create and review realistic, domain-specific robotics tasks in Hindi; apply scoring rubrics; evaluate AI and human responses for accuracy, regulatory alignment, and professional quality; and produce gold-standard solutions and expert feedback.

Lead and build massively scalable software and systems; architect low-latency infrastructure; address cybersecurity concerns; apply machine learning with financial engineering to solve complex client problems and drive new product capabilities.

Design, build, and operate high-throughput, low-latency backend services and AI/ML pipelines on an event-driven platform. Own Go services, WebSocket backends, RAG/embedding/model-serving components, and connectors to CCaaS/CRM/telephony. Work in 1-week sprints, deliver production-grade integrations or AI features, and meet strict latency and delivery commitments.

As a Software Engineering Associate Advisor, you will design backend services for AI applications, integrate LLMs, and ensure system security, collaborating with teams.

Lead quality engineering across product teams, focusing on testing, CI/CD/DevOps and ML model deployment. Drive process and IT security improvements, define product specs, design test procedures, and manage/direct reports to deliver quality outcomes.

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.