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.

Diagnose full technology stack performance issues, tune web applications and databases, interpret technical data to identify trends, liaise with clients to resolve customer-impacting problems, and collaborate with Account Escalation teams to ensure timely resolution.

Responsible for the design, development, and deployment of DevOps infrastructure, services, and tools to optimize software delivery and integrate AI tools into workflows.

As a Senior Software Engineer, you will drive cross-functional projects, build UI components and APIs, and contribute to AI/ML tools development.

Develop and maintain DirectX Graphics Driver for NVIDIA GPUs, focusing on graphics features, software quality improvements, and collaboration across teams.

Lead engineering projects, evaluate technologies, mentor junior engineers, collaborate across teams, and champion new technology adoption at Goodyear.

Lead design and delivery of AI applications, architect .NET services, implement RAG pipelines, mentor engineers, ensure solution quality.

Lead Quality Engineering initiatives for Insurance clients, focusing on Guidewire testing. Responsibilities include designing automation frameworks, mentoring teams, and driving quality transformation initiatives.

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

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

The Automation Engineer Lead Analyst will design and implement automated systems, working with IT to identify solutions, ensuring minimal maintenance and focusing on reusability and operational efficiency.

The Lead IT Architect will shape architecture in HR technology, ensuring compliance, developing roadmaps, and leading integration of Oracle 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 Software Engineering Lead Analyst will design and develop AI-driven solutions, oversee machine learning models, and ensure integration with existing systems, focusing on automation and continuous improvement.

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.

The Senior Manager will oversee multiple agile teams, ensuring effective team performance, strategic planning, and technical leadership in software development, with a focus on AI and cloud technologies.

The Digital Manufacturing IT Application Analyst - Senior translates business requirements into technical specifications, designs IT solutions, develops infrastructure components, ensures compliance, and provides support for critical manufacturing IT systems.

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

The Senior Backend Engineer will design, develop, and maintain software solutions for identity verification, focusing on scalability, security, and high performance, while mentoring junior engineers and collaborating in an agile environment.

As a Backend Engineer at Socure, you'll design, develop, and deploy software solutions, ensuring scalability, security, and high quality while mentoring junior engineers and collaborating in an agile environment.

Lead the development of scalable enterprise software and AI/ML solutions for capital markets, ensuring compliance and high performance. Oversee the engineering team, define technical roadmaps, and drive innovation in software applications.

The Senior Software Engineer will design and maintain backend software, APIs, and collaborate with various teams to enhance product offerings and scale services.

The Senior Software Engineer will develop and deploy AI/ML solutions, improve model performance, and collaborate with stakeholders to enhance customer experience.

As a Principal Engineer in AI/ML, you will design, develop, and maintain generative AI models and platforms, collaborating with cross-functional teams to drive innovation and scaling efforts in AI technology.

Design and build machine learning platforms and pipelines, lead model lifecycle infrastructure development, and mentor junior members while promoting best practices in ML operations.