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.
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Genai • San Francisco, CA, United States
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