Duration: Longterm
Location: NY or LA (Hybrid) or Remote
Required Skills & Experience:
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 , LlamaIndex 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.
Preferred Qualifications:
* Experience deploying models using API frameworks such as FastAPI or Flask.
* Knowledge of MLOps principles and tools for CI/CD, model monitoring, and lifecycle management.
* A portfolio of projects or contributions to open-source AI/ML libraries
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