Top Machine Learning Jobs in Hyderabad

Lead a global team of engineers in developing risk and onboarding platforms while driving business impact through collaboration, roadmap planning, and engineering excellence.

The intern will engage in full-stack development, collaborating with teams, optimizing code, and exploring AI techniques, while learning Agile methodologies.

As a Software Engineer, design, develop, and deploy software solutions leveraging AI. Optimize performance and collaborate with cross-functional teams to enhance customer experiences and internal efficiency.

Lead the development and integration of AI capabilities into core applications using .NET Full Stack. Responsibilities include mentoring, designing scalable APIs, collaborating with teams, and ensuring code quality.

Manage and mentor engineering teams, ensure high-quality product delivery, contribute to technical decisions, and enhance classroom learning experiences.

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

As a Senior Software Engineer II, you'll design APIs, improve performance, mentor engineers, and build AI solutions for better healthcare access.

As a Senior Machine Learning Engineer, you'll design and implement ML models, collaborate with teams, and mentor junior engineers while optimizing solutions for healthcare technology.

Develop full stack applications using Python and Next.js/React, integrate AI/ML models, and work on cloud automation projects with Azure.

Administer and maintain ServiceNow, develop workflows, optimize CI/CD pipelines, troubleshoot issues, and provide support. Requires advanced scripting and CI/CD expertise.

Design and build AI applications, optimize ML models, analyze datasets, and collaborate with teams to deploy machine learning solutions.

Lead technical teams to design, develop, and scale AI platform services. Oversee architecture, manage backlogs, mentor team members, and ensure compliance with AI ethics.

As a Backend Software Engineer, develop and improve Bloomreach's multi-tenant search infrastructure, leveraging cloud technologies and machine learning for enhanced performance and scalability.

The Software Development Engineer - ML Ops role involves managing data pipelines using Airflow, leveraging scalable pipelines, and working with ML and cloud platforms.

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

Develop AI/ML features at DigitalOcean, lead cross-functional projects, build UI components, and maintain APIs. Requires strong technical leadership and collaboration.

You will design and develop machine learning infrastructure and models, work with cross-functional teams, and build AI-driven applications, focusing on data scalability and performance.

As a Principal Engineer in AI/ML, you will drive the development of generative AI models and platforms, collaborating across teams to innovate and optimize systems at scale.

The Senior QA Engineer will ensure quality in AI products, designing test plans for APIs, UI, and ML workflows, conducting performance testing, and collaborating with ML teams.

As a Staff Software Engineer, you will lead projects, drive technical standards, and build accessible AI/ML tools on the Gradient Platform using various technologies.

The Software Developer will design, develop, and deploy NLP models, train models using spaCy and Prodigy, and collaborate with teams to integrate models into production while optimizing them for performance.

The Staff Software Engineer will design and implement large-scale microservices, mentor junior engineers, ensure service ownership, and improve automated testing. Responsibilities include troubleshooting and analyzing platform issues using languages such as Golang, Scala, and Ruby on AWS.

Develop and deploy AI agents using Aisera's platform, integrate with external systems, and provide technical support for successful implementations.

The Senior Machine Learning Engineer will design and implement advanced ML algorithms for search and recommendations, collaborating with data teams and staying updated on ML advancements.

The Senior Software Engineer will manage cross-functional projects, develop UI components, maintain APIs, and provide technical leadership within a fast-paced AI/ML team.