Description

Design and optimize generative AI and machine learning models using complex datasets and cloud-based environments.

Responsibilities

• Build RAG applications independently using open-source LLM models.
• Design and optimize LLM and natural language processing (NLP) systems, frameworks, and tools.
• Develop AI/ML models utilizing supervised, unsupervised, deep, reinforcement, and federated learning.
• Implement time series forecasting, Bayesian statistics, and optimization techniques.
• Deploy models within cloud and high-performance computing environments.

Required Skills

• 5+ years of experience in Machine Learning and AI/ML modeling.
• Strong programming proficiency in Python.
• Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch.
• Expertise in designing and optimizing LLMs and NLP systems.
• Experience working with Azure and Databricks.
• Practical knowledge of NLP libraries including NLTK, spaCy, or Hugging Face Transformers.
• Strong theoretical understanding of AI/ML research foundations.
• Experience handling unstructured data for model development.

Preferred Skills

• B.E., B.Tech, M.Tech, or MCA in Computer Science, Artificial Intelligence, or a related field.

Key Skills

Education

B.E./ B. Tech / M. Tech/ MCA in computer science, artificial intelligence, or a related field