Job Description:

 We are seeking a skilled AI & Data Science professional with strong expertise in Machine Learning, Generative AI, and Cloud Technologies. The ideal candidate will have experience in building and deploying AI-driven solutions with hands-on exposure to GenAI and Retrieval-Augmented Generation (RAG). The role requires a blend of ML fundamentals, deep learning expertise, and software engineering skills.

Job Responsibilities:

 

• Develop and deploy AI-driven solutions using Machine Learning and Deep Learning models 
• Work on generative AI and Retrieval-Augmented Generation (RAG) techniques 
• Implement and fine-tune Large Language Models (LLMs) for various use cases 
• Optimize model performance through hyperparameter tuning and evaluation metrics 
• Build and maintain scalable AI/ML applications using Python and FastAPI/Flask 
• Deploy and manage machine learning models on cloud platforms like AWS (SageMaker, ECS, S3, Lambda) 
• Utilize Docker for containerization and efficient model deployment 
• Work on embeddings, transformers, and attention mechanisms for NLP tasks 
• Collaborate with engineering teams to integrate AI solutions into production systems 
• Research and implement innovative AI techniques for improving model performance

Primary Skills:

• Machine Learning
• AWS
• Python
• AI Frameworks
• Generative AI
• ML/NLP Metrics
• Deep Learning Functions & Optimization Algorithms
• LLM-based Embedding Models
• Prompt Engineering Techniques

Other Skills:

• RESTful API design
• Docker/Kubernetes
• Data Analysis
• RNN
• CI/CD Pipelines