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.