Data Scientist - AI/ML Lead

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent

Skills

Python
Google Cloud Platform
Machine Learning (ML)
LlamaIndex
Research and Development
Amazon Web Services

Job Details

Data Scientist - AI/ML Lead

Location : San Jose, CA (Onsite)

Type : Contract, C2C

Job Summary: -

We need candidates with experience in agents and agents framework. because our work starts with building agents and multiple agents collaborating with each other

GenAI platforms include langgraph, llamaindex, autogen, ag2, crew, AWS bedrock, Google vertex

In depth knowledge of AI/ML concepts, algorithms, and frameworks.
Proficiency in programming languages commonly used in AI/ML development (e.g., Python).
Lead and mentor a team of AI engineers and data scientists, fostering collaboration and professional growth.
Develop and implement agent based systems using frameworks such as Langchain, Langgraph, LlamaIndex, Crew, and Autogen.
Collaborate with cross functional teams to integrate agents with cloud services like AWS, Azure, and Google Cloud.
Very Strong programming skills in Python languages, Agentic orchestration library.
Experience with AI and machine learning concepts .
Conduct research and development to optimize agent functionalities and performance.
Participate in code reviews, testing, and debugging to ensure high quality deliverables.
Stay updated with industry trends and advancements in agent technologies.
Excellent problem solving and analytical skills.
We are seeking a skilled Internet of Agents Developer to join our dynamic team. The ideal candidate will have experience in popular agent development frameworks and cloud platforms. This role involves designing, developing, and deploying intelligent agent-based systems.

Key Responsibilities:

Develop and implement agent-based systems using frameworks such as Langchain, Langgraph, LlamaIndex, Crew, and Autogen.
Collaborate with cross-functional teams to integrate agents with cloud services like AWS, Azure, and Google Cloud.
Very Strong programming skills in Python languages, Agentic orchestration library
Experience with AI and machine learning concepts .
Conduct research and development to optimize agent functionalities and performance.
Participate in code reviews, testing, and debugging to ensure high-quality deliverables.
Stay updated with industry trends and advancements in agent technologies.
Excellent problem-solving and analytical skills

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