Description

Job Description:-

• 3–6 years of experience in ML, AI engineering, or a related applied role

• Strong Python skills — pipelines, model training, API development

• Hands-on experience with ML frameworks (PyTorch, TensorFlow, or scikit-learn)

• Experience building and maintaining data pipelines for ML workflows

• Practical LLM experience — prompt engineering, chaining, and agent frameworks (LangChain, LangGraph, or similar)

• Experiment tracking tools — MLflow, Weights & Biases, or equivalent

• Strong software engineering fundamentals — Git, testing, clean code, documentation

Preferred

• Experience with hardware performance data or systems-level modeling

• Familiarity with RAG systems and production ML deployment

• Knowledge of dataset versioning tools (DVC) and containerization (Docker)

• Experience building internal developer tools

Education

Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field — or equivalent hands-on experience

Key Skills

Education

Any Graduate