Description

You will design, build, and deploy Generative AI solutions and machine learning models at scale.

This role is on-site.

Responsibilities

• Design and deploy Generative AI solutions using advanced Machine Learning techniques.
• Build, train, evaluate, and deploy ML models using Python frameworks like TensorFlow or PyTorch.
• Develop and maintain ETL pipelines using Python and SQL to support AI/ML workflows.
• Deploy AI/ML models via APIs and microservices, implementing monitoring and tracking.
• Optimize Python code and ML workflows for efficiency and scalability across distributed environments.

Required Skills

• 8+ years of professional experience in Machine Learning and Generative AI.
• Advanced proficiency in Python for ML and data engineering tasks.
• Expertise in SQL and database optimization techniques.
• Experience with ETL processes and large-scale data environments.
• Knowledge of distributed data tools such as Hive.
• Proficiency with ML frameworks: TensorFlow, PyTorch, Scikit-learn.
• Experience in deploying models using APIs and microservices architecture.

Preferred Skills

• Analytical and architectural problem-solving skills.
• Any Graduate degree.

Key Skills

Education

Any Graduate