Top Machine Learning Jobs in Hyderabad

The Product Owner Manager facilitates stakeholder meetings, prioritizes AI use cases, creates documentation, and acts as a liaison between teams ensuring project alignment and timely delivery of AI products.

Lead end-to-end delivery of large-scale healthcare payment integrity programs. Coordinate engineering, product, and operations; run Agile ceremonies across multiple teams; integrate claims coding standards and compliance into program planning; manage risks, stakeholders, and mentorship of junior TPMs to ensure timely, compliant, data-driven solutions.

The role involves building end-to-end features, designing APIs, collaborating with stakeholders, and improving systems in a fast-paced startup environment.

The role requires a skilled Machine Learning Engineer to create complex models and AI solutions while collaborating with teams to enhance products and services.

This internship program involves coding, software development, and collaboration with teams on real-time projects while receiving mentorship from industry professionals.

The Data Scientist will analyze complex datasets, develop predictive models, and derive insights to support business objectives using advanced statistical methods.

As a Machine Learning Engineer, you will solve business problems using machine learning and AI, develop POCs, and support team growth through collaboration and knowledge sharing.

The Senior Data Scientist will enhance the predictive modeling capabilities of Lyric's platform, focusing on machine learning and statistical methods for supply chain optimization.

The Senior AI/ML Engineer will lead the development of enterprise AI solutions, owning architecture and delivery, mentoring engineers, and ensuring compliance with responsible AI practices.

Seeking a senior AI/ML engineer with 6+ years experience to design and scale AI/ML platforms, innovate, mentor, and solve complex data challenges.

The role involves delivering AI solutions, developing models, supporting Agile practices, collaborating with teams, and focusing on execution and delivery.

The role involves owning the MLOps infrastructure, migrating detection pipelines, building CI/CD pipelines, and ensuring system reliability in production.

This role involves developing real-world applications using modern AI models and LLM frameworks, focusing on deployment and implementation of AI features.

The ML Product Owner will shape the supply chain platform by developing forecasting capabilities, collaborating with teams to enhance decision-making using machine learning.

Design and productionize ML models for search relevance and personalization. Collaborate on ML services with backend teams under performance constraints.

Develop and optimize machine learning models, manage project priorities, and improve real-world solutions using advanced ML techniques.

Develop AI-driven solutions for cybersecurity, focusing on machine learning pipelines, cyber threat detection, and mitigation of cyber-attacks like ransomware.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

As an AI/ML Engineer, design, develop, and deploy machine learning models and AI solutions for fintech, ensuring integration with cloud platforms and robust data pipelines.

Design, develop, and deploy machine learning models and AI solutions. Collaborate with teams for intelligent automation and conduct research on new AI technologies.

Develop and scale data management systems for AutoML and forecasting platforms, ensuring data reliability and implementing SLAs across pipelines.

The role involves building and automating ML models and data pipelines, analyzing data, and presenting insights based on user behavior and input data.