GENAI / MACHINE LEARNING AI / DATA Scientist

Position Overview

We are seeking a highly experienced GenAI Engineer to develop prototypes, PoCs, and MVPs using advanced generative AI technologies. The ideal candidate will have a strong foundation in AI, deep learning, and machine learning principles, and expertise in Python along with tools like Hugging Face, Langchain, and the OpenAI API. Experience with deep learning frameworks such as TensorFlow, Keras, and PyTorch, as well as cloud platforms like Google Model Garden, Amazon Bedrock, and Nvidia Nim, is essential. This role offers a 100% Remote work environment, requires 10+ years of relevant experience, and is open to all except for H1B Candidates (only W2 Candidates are eligible).

Key Responsibilities

• Develop prototypes, PoCs, and MVPs using generative AI tools and techniques.
• Leverage strong AI/ML, deep learning, and machine learning skills to drive innovation.
• Write efficient Python code and utilize advanced libraries and APIs.
• Employ deep learning frameworks (TensorFlow, Keras, PyTorch) for model development.
• Utilize cloud platforms (Google Model Garden, Amazon Bedrock, Nvidia Nim) to deploy solutions.
• Collaborate on projects involving multi-modal data and intelligent agent-based tools.
• Maintain a self-motivated, collaborative, and innovative mindset.

Required Qualifications

• 10+ years of relevant industry experience.
• Strong foundation in AI, deep learning, and machine learning principles.
• Expertise in Python programming.
• Proficiency in using tools such as Hugging Face, Langchain, and OpenAI API.
• Experience with deep learning frameworks like TensorFlow, Keras, and PyTorch.
• Familiarity with cloud platforms including Google Model Garden, Amazon Bedrock, and Nvidia Nim.
• Experience with multi-modal data and intelligent agent-based tools.
• Eligibility: 100% Remote work environment; NO H1B Candidates (only W2 Candidates can apply).