Top Machine Learning Jobs in Hyderabad

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

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

Lead the data engineering strategy at XO Health, overseeing a team, implementing scalable data solutions, and developing advanced analytics models for healthcare data optimization.

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

The Implementation Lead will manage customer implementations of Lyric's AI-powered platform, ensuring projects meet timelines, success criteria, and technical quality while collaborating across teams.

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

Develop customer-facing automation solutions, contributing to design, coding, and troubleshooting, while collaborating with stakeholders on technical issues.

As an Enterprise AI Analyst, you'll design AI solutions, collaborate with clients, and oversee model development while providing support for deployment and 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 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 AI/ML Engineer designs and deploys machine learning models, collaborates across teams, and translates business needs into AI solutions.

The AI/ML Engineer designs, develops, and deploys machine learning models, optimizing performance while collaborating across teams for AI-driven solutions.

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

The Senior Machine Learning Engineer will work on the Predictions workspace, developing predictive models for supply chain challenges and ensuring seamless user experiences through orchestrated workflows.

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.

Seeking an AI/ML Engineer with 4+ years of experience to design, develop, and implement AI models and solutions, collaborating across teams to translate enterprise needs into practical applications.

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

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

As a Machine Learning QA/Annotation Engineer, you'll annotate images for AI models, organize results, and support QA processes within the team.

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.

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