Preferred Skills :
- Experience with cloud platforms : AWS, GCP, Azure
- DevOps practices
- Containerization : Docker
- Orchestration : Kubernetes
Job Description / Roles & Responsibilities (in Detail)
Responsibilities of an AI / ML Engineer (Python)
Develop and deploy machine learning models using Python and libraries such as TensorFlow, PyTorch, and Scikit-learn.Build data pipelines and perform feature engineering to enhance model performance.Apply advanced techniques, including Retrieval-Augmented Generation (RAG), to enhance AI model capabilities.Collaborate with teams to translate business needs into scalable AI / ML solutions.Optimize and validate models, ensuring accuracy, reliability, and efficiency in production.Stay updated on AI / ML trends and apply best practices in coding, version control, and deployment.