Overview

Full time role with Billion Dollar tech (MNC)

Responsibilities

• Design and develop agentic AI systems capable of autonomous decision-making and task execution
• Generate and utilize synthetic data for training, validation, and testing of machine learning models
• Build, train, and deploy machine learning and deep learning models using Python
• Develop AI agents using modern frameworks (e.g., LangChain, AutoGen, etc.)
• Create scalable data pipelines for synthetic data generation and processing
• Evaluate model performance and improve accuracy using advanced techniques
• Collaborate with cross-functional teams to integrate AI solutions into products.
• Ensure data privacy and compliance by leveraging synthetic datasets.
• Stay updated with the latest advancements in AI, ML, and agentic systems

Qualifications

• Strong proficiency in Python and ML libraries (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow).
• Hands-on experience with synthetic data generation techniques .
• Good understanding of machine learning, deep learning, and NLP concepts.
• Familiarity with tools/frameworks like LangChain, AutoGen, or similar.
• Knowledge of data engineering and pipeline creation.
• Strong problem-solving and analytical skills.

Nice to have

• Exposure to reinforcement learning or multi-agent systems Experience in building real-world AI applications using synthetic environments
• Contributions to open-source AI projects