Top Machine Learning Jobs in Hyderabad

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 Director of Data Engineering leads the development of data infrastructure, analytics models, and ensures compliance with data standards while leading a team to optimize healthcare operations.

Lead the definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

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.

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

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.

As a Senior Machine Learning Engineer at MediaRadar, you will design, implement, and optimize ML solutions for data products, focusing on retrieval and relevance, model evaluation, and operational excellence.

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.

Build, train, and refine ML models using real human behavior data. Develop data pipelines, own model deployment, and integrate models into apps.

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.

Develop and deploy AI and ML models, collaborate with teams to design algorithms, and leverage data for insights and solutions.

Seeking an AI/ML Engineer to enhance RAG systems, design BERT models, and utilize Pinecone for scalable solutions, collaborating with cross-functional teams.

As a Machine Learning Engineer, you will develop AI solutions, own AI features, integrate ML into CI/CD, mentor peers, and work on infrastructure challenges.

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

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.