GENAI / MACHINE LEARNING AI / DATA Scientist
Job Description
Hudson Manpower offers a fully remote GenAI, machine learning, and data science role designed for senior practitioners. This is a 100% remote, W2 opportunity requiring 10+ years of hands-on experience. No H1B sponsorship is available. The position supports flexible work arrangements and invites experienced professionals who thrive in collaborative, innovative environments to contribute to advanced AI initiatives.
The team values a proactive mindset and a deep commitment to solving hard problems with GenAI and AI methods. If you excel in autonomous yet collaborative work, this role provides an environment to influence real-world AI outcomes while maintaining a strong focus on quality and impact.
Responsibilities
- Develop prototypes, PoCs, and MVPs using Python and related GenAI/ML frameworks and tools, including Hugging Face, Langchain, OpenAI API, TensorFlow, Keras, PyTorch, Google Model Garden, Amazon Bedrock, and Nvidia Nim.
Requirements
- No H1B candidates
- Only W2 candidates
- Experience: 10+ years
- 100% remote
Technologies
- Python
- Hugging Face
- Langchain
- OpenAI API
- TensorFlow
- Keras
- PyTorch
- Google Model Garden
- Amazon Bedrock
- Nvidia Nim
Skill Sets
- AI/ML Knowledge: Strong foundation in AI, deep learning, and machine learning principles
- Programming Skills: Proficiency in Python and tools like Hugging Face, Langchain, and OpenAI API
- Deep Learning Frameworks: Experience with TensorFlow, Keras, and PyTorch
- Cloud Platforms: Familiar with Google Model Garden, Amazon Bedrock, and Nvidia Nim
- Multi-Modal Data and AI Tools: Experience with multi-modal data and intelligent agent-based tools
- Mindset: Self-motivated, collaborative, and innovative, with a passion for solving hard AI problems