Top Machine Learning Jobs in Hyderabad, TG

As a Senior Associate in Artificial Intelligence/Machine Learning, you will design and deploy innovative AI/ML solutions to address business objectives. Responsibilities include developing automated pipelines, optimizing generative models for NLP tasks, monitoring model performance, and staying updated on AI/ML advancements. Required qualifications include a Bachelor's or Master's degree in Computer Science, 3-5 years of experience in applied AI/ML engineering, proficiency in Python and machine learning frameworks, and strong collaboration skills.

Seeking a passionate Senior Machine Learning Engineer to support, build, and scale personalization and search platforms for a global streaming app. Responsibilities include building and scaling a recommendation system, collaborating with data science engineers, driving observability and performance tuning, and contributing to technical documentation. Requires 5+ years of industry experience, 3+ years in machine learning driven distributed systems, strong architectural and design skills, and practical knowledge in modern machine learning lifecycle.

Design, implement, and support ML lifecycle framework for unique requirements. Maintain and operate large-scale ML pipelines. Integrate solutions with industry-standard ML platforms. Work with MLEs and Researchers to design next-gen ML infrastructure.

Build and lead a team to develop AI/ML solutions for HR product areas, drive internal development, leverage vendor solutions, ensure conformance with controls and procedures, and partner with Workforce Technology to implement data and analytics systems.

Looking for an experienced ML Ops Engineer to join the AI & Data Science team. Responsible for deploying, monitoring, and maintaining machine learning models in production to deliver value to clients.

Develop and maintain automation test frameworks, test generative AI/Machine learning applications, collect quality metrics, design testing strategies, create test plans, and support troubleshooting in a scrum team setting.

Seeking an Engineer III with expertise in ML Ops to design and build a modern ML-Ops platform, modularize ML code, establish repeatable patterns for model development, and leverage cloud services. This role involves collaborating with Data Platform Software Engineers, Data Scientists, and Threat Analysts to influence critical business decisions through scalable ML pipelines.

The Sr. Engineer - ML Ops at CrowdStrike will play a crucial role in building the ML Experimentation Platform and designing scalable ML pipelines. Responsibilities include modularizing ML code, establishing repeatable patterns for model development, and leveraging cloud services in a cloud-first environment.