Professional experience in an AI or Machine Learning engineering role at the capacity of Lead/ Architect.
• Hands-on experience with LLM frameworks and tools like LangChain , Llama Index etc
• Expertise in Python and its data science ecosystem (e.g., Pandas, NumPy, Scikit-learn).
• Proven experience with one or more deep learning frameworks, such as TensorFlow or PyTorch.
• Hands-on experience with a major cloud platform (AWS, Azure, or GCP) for training and deploying machine learning models. (GCP Preferred)
• Experience with generative AI and Large Language Models (LLMs).
• Proficiency in data analysis, statistical modeling, and machine learning theory.
• Experience with containerization technologies (e.g., Docker) and deploying models as APIs.
• Excellent communication skills and a proven ability to collaborate effectively in a team environment.
