Description

You will build and deploy AI solutions using machine learning and LLMs.

Responsibilities

• Design and implement machine learning models using deep learning frameworks.
• Develop and integrate solutions utilizing LLM frameworks and tools.
• Train and deploy models on major cloud platforms.
• Analyze data and apply statistical modeling techniques to drive outcomes.

Required Skills

• 7+ years of professional experience in AI or Machine Learning engineering.
• Expertise in Python and its data science ecosystem (Pandas, NumPy, SciKit-learn).
• Proven experience with TensorFlow or PyTorch.
• Hands-on experience with LLM frameworks (LangChain, LlamaIndex).
• Experience with a major cloud platform (AWS, Azure, or GCP).
• Proficiency in data analysis and machine learning theory.
• Experience with containerization technologies like Docker for API deployment.

Preferred Skills

• Experience deploying models using API frameworks such as FastAPI or Flask.
• Knowledge of MLOps principles for CI/CD and model monitoring.

Key Skills

Education

Any Graduate