Data Scientist

Overview

Hybrid
$60 - $65
Contract - W2
Contract - 12 Month(s)

Skills

Data Scientist
Generative Artificial Intelligence (AI)
Artificial Intelligence
Machine Learning (ML)
Large Language Models (LLMs)
Natural Language Processing
Machine Learning Operations (ML Ops)
Amazon Web Services
Google Cloud Platform
Microsoft Azure
Python
Chatbot

Job Details

Job Description:
We seek a skilled and forward-thinking Data Scientist with Generative AI experience in large language models (LLMs) such as ChatGPT, LLaMA, DeepSeek, and Vertex AI. The ideal candidate will have a solid understanding of prompt engineering, fine-tuning, embeddings, and model deployment and expertise in leveraging cloud platforms (AWS, Google Cloud Platform, or Azure) to scale AI solutions.

Must skills:
AI(Artificial Intelligence )
ML(Machine Learning)
NLP(Natural Language Processing)
LLMs (Large language models)
Chatbot/ Python, Generative AI, MLOps, sentiment analysis, and text generation techniques
Any cloud (AWS/ Azure/ Google Cloud Platform)

Key Responsibilities:
Designed and architected a scalable, secure, and efficient internal assistant solution using cutting-edge AI and natural language processing technologies
Develop proof-of-concept and prototypes to validate architectural decisions
Lead the integration of the chatbot with internal systems, databases, and APIs
Collaborate with cross-functional teams to gather requirements and ensure alignment with business objectives
Implement best practices for AI model deployment, monitoring, and continuous improvement
Provided technical leadership and mentorship to the development team
Stay up-to-date with the latest advancements in AI, GenAI, and LLMs, incorporating innovative features into the chatbot architecture

Required Qualifications:
10+ years of experience in software development, with a focus on AI and machine learning
Proven experience architecting and implementing internal-facing AI chatbot solutions similar to Glean or Rogo
Strong hands-on experience with Python, LLMs, and Generative AI technologies
Deep understanding of natural language processing, sentiment analysis, and text generation techniques
Expertise in cloud platforms (AWS, Azure, or Google Cloud Platform) for AI model deployment and scaling
Experience with MLOps practices and tools for model lifecycle management
Strong problem-solving skills and ability to translate complex business requirements into technical solutions
Excellent communication skills to explain technical concepts to both technical and non-technical stakeholders.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.