AI/ML Engineer (Agentic AI & Synthetic Data)

Full time role with Billion Dollar tech (MNC)

Location - Noida (Hybrid, 3 days WFO)

Interview rounds - 2 Technical interviews (1 will be F2F)

Exp - 5 to 10 years

Budget upto 28 lakhs max.

AI/ML Engineer (Agentic AI & Synthetic Data)

About the role: We are looking for a skilled AI/ML Engineer with hands-on experience in building intelligent agents using synthetic data and Python. The ideal candidate will work on designing, developing, and deploying agentic AI systems that leverage synthetic data for training, testing, and optimization.

Key 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

Required Skills & Qualifications:

• Strong proficiency in Python and ML libraries (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow).
• Experience in Agentic AI / Autonomous Agents development
• Hands-on experience with synthetic data generation techniques .
• Good understanding of machine learning, deep learning, and NLP concepts.
• Experience with LLMs and prompt engineering.
• 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