Description

You will apply deep learning expertise and research-oriented modeling to solve complex data problems.

Responsibilities

• Design and optimize Large Language Models (LLMs) and natural language processing (NLP) systems.
• Build RAG applications independently using open-source LLM models.
• Develop AI/ML models for complex datasets using supervised, unsupervised, and reinforcement learning.
• Conduct research and exploration into neural network design and optimization algorithms.
• Implement time series forecasting and federated learning solutions in cloud environments.

Required Skills

• 6+ years of IT experience with at least 3 years focused on Data Science (AI/ML).
• Deep learning expertise, specifically with CNN, RNN, and Transformer architectures.
• Strong programming skills in Python.
• Hands-on experience with TensorFlow or PyTorch.
• Practical knowledge of LLM optimization and NLP frameworks.
• Experience with Databricks and cloud platforms such as AWS, Azure, or GCP.
• Strong theoretical understanding of Bayesian statistics and optimization.
• Degree in Computer Science, Artificial Intelligence, or a related field.

Key Skills

Education

Any Graduate