Top Machine Learning Jobs in Hyderabad

Define technical vision and architecture for large-scale distributed, cloud-based systems. Contribute hands-on to core code, optimize data pipelines, ensure reliability and low-latency performance, mentor engineers, collaborate with product and Ads/Bing teams, resolve production issues, and apply AI tools to improve engineering workflows.

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.

The Software Engineering Lead Analyst will design and implement AI-driven solutions using Python, machine learning, and modern AI tools while enhancing development processes and tools.

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.

Lead an RPA team to design, develop, test, deploy, and maintain scalable automation bots (UiPath/AA/Blue Prism). Collaborate with stakeholders to assess processes, manage projects, mentor developers, troubleshoot bots, and report progress to senior management.

Early-career Performance Engineer in the Binance Accelerator Program. Perform hands-on performance testing and tuning, design AI-powered test strategies using LLMs and ML, build AI-driven anomaly detection and bottleneck analysis tools, research new AI technologies, and improve reliability of large-scale distributed systems.

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.

Support design, integration, verification, and testing of hardware, software, and systems. Develop and execute test plans and automated scripts, report defects, build AI-assisted verification frameworks, create data pipelines and dashboards, and maintain test environments for optical networking platforms.

The Staff Engineer in Machine Learning will guide teams, solve client challenges, and enhance solutions leveraging their technical expertise.

The Sr ServiceNow Engineer leads the development and configuration of solutions within ServiceNow, focusing on HR Service Delivery. Responsibilities include designing functional solutions, custom application development, and maintaining compliance with business requirements.

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

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.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

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.