ChatOps Gen AI Engineer

Responsibilities :

• Generative AI Development : Design and implement solutions leveraging Generative AI, Large Language Models (LLMs), deep learning, agentic frameworks, and RAG (Retrieval-Augmented Generation) setup.
• Machine Learning Model Implementation : Implement machine learning models using scikit-learn and TensorFlow .
• AI / ML Frameworks : Utilize Hugging Face, LangChain, LangGraph, and PyTorch for AI / ML development.
• Cloud AI Services : Work with cloud AI services, particularly AWS SageMaker and AWS Bedrock .
• MLOps & DevOps : Contribute to MLOps and DevOps practices , including data pipeline setup, Apache Airflow, CI / CD , and containerization (Docker, Kubernetes) .
• API Development : Develop and maintain APIs following RESTful principles .
• System Integration : Integrate various systems using technical proficiency in Elastic, Python, YAML .

Required Skills :

Nice to Have :

Skills Required

Deep Learning, Tensorflow, Devops