Top Machine Learning Jobs in Hyderabad

Lead software engineering at JPMorgan Chase focusing on machine learning initiatives. Manage teams, drive innovation, and oversee technical roadmap and platform development.

Lead product development for AI and machine learning solutions, manage engineering teams, solve complex problems, and collaborate with cross-functional teams to enhance user experiences.

Lead engineering strategies for complex problems, advise on technology integration, implement machine learning solutions, and enhance business operations through innovative technologies.

The Data Engineer will develop ETL/ELT processes, model data warehouses, and work on cloud-based data engineering and machine learning solutions, collaborating with data scientists for optimal data analysis.

As a Principal Machine Learning Engineer, you will lead the development of machine learning algorithms, model training, and collaborate with various teams to integrate AI functionalities into products.

The Principal Engineer will lead advanced electrical device characterization and collaborate on measurement methodologies and troubleshooting within technology development.

This role involves building front-end applications on ServiceNow, integrating AI platforms, mentoring engineers, and overseeing application deployment and optimization.

The role involves developing AI solutions on the Salesforce platform, supporting customers through implementation and adoption, and enhancing product innovation based on feedback.

Engineer III - ML Platform will build and optimize ML pipelines for a large-scale data platform, collaborating with engineers and scientists to enhance operational success and model deployment.

As a Senior Machine Learning Engineer at Atlassian, you will develop and implement cutting-edge machine learning algorithms, train complex models, and collaborate with teams to integrate AI features into Jira. Your role involves designing system architectures, conducting experiments, guiding junior engineers, and ensuring the practical application of AI within the product.

As a Software Engineer - Vision, you will develop and optimize computer vision algorithms, improve existing models, and collaborate with cross-functional teams on AI systems.

As an AI Research Engineer, you will build and evaluate AI-driven code generation systems, improve workflows, and collaborate with teams to enhance product efficiency.

As a Full-Stack Product Engineer, you will design and implement user and developer tools, collaborate with teams, and improve AI-powered development tools.

The role involves designing and implementing machine learning algorithms for predictive analytics, working with large data sets, and providing mentorship to junior staff.

The Senior Data Consultant leads project delivery, formulates strategies, and collaborates with clients and teams to drive business results through data-driven solutions.

As a Compiler Backend Engineer, design and optimize compiler functionality for ML accelerator architecture, collaborating with hardware teams to enhance performance.

The AI Strategist will lead AI initiatives to enhance business processes, drive innovation, assess tech impacts, and educate the organization on AI applications.