AI/AL Engineer

Overview

On Site
Up to 65
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)
No Travel Required
Able to Provide Sponsorship

Skills

Amazon Web Services
Artificial Intelligence
Cloud Computing
Collaboration
Communication
Continuous Delivery
Continuous Integration
Generative Artificial Intelligence (AI)
Google Cloud Platform
Good Clinical Practice
Machine Learning Operations (ML Ops)
Lifecycle Management
Pandas
Machine Learning (ML)
Large Language Models (LLMs)

Job Details

Job Title: AI / ML Engineer
Location:  San Francisco Bay area.(Onsite)
Min Exp: 14 Years need

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 , 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 Google Cloud Platform) for training and deploying machine learning models. (Google Cloud Platform 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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