Top Machine Learning Jobs in Hyderabad

The Senior Software Engineer will lead initiatives in software engineering, design and implement solutions, and resolve technical challenges, while supervising less experienced staff.

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

Lead software engineering initiatives, design and develop enterprise web applications, collaborate with stakeholders, and mentor team members while leveraging strong technical knowledge.

Manage and develop a software engineering team, ensuring adherence to architecture, driving technology strategies, and advocating for agile practices while overseeing project delivery and talent development.

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

The role involves developing and configuring Oracle Fusion Fixed Assets processes, supporting data conversions, leading Oracle Cloud integrations, and ensuring operational excellence in AI platforms while collaborating in Agile teams.

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

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

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

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.

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

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

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

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.

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.

Seeking an Enterprise Architect with strong GenAI and AI/ML expertise to lead engineering teams and deliver AI-powered enterprise solutions.

Responsible for the end-to-end design, development, and deployment of Machine Learning models, collaborating with teams, and managing deployment lifecycles.

The Technical Architect for AI/ML will define architecture for AI systems, mentor teams, and align strategies with business objectives, utilizing cloud-native tools and frameworks.