Data Scientist / Generative AI Specialist(Only on W2)
Why This Role Stands Out
Advance your career at Resource Innovative Technologies LLC by leveraging your expertise in Generative AI and traditional data science to solve complex business challenges. This mid-senior role is perfect for analytical problem-solvers eager to make a significant impact within a reputable technology company. Apply today to join a dynamic team and grow your skills in a cutting-edge field.
Quick Overview
Job Description
Role: Data Scientist / Generative AI Specialist
Location Charlotte, NC (Onsite)
Job Description: Data Scientist / Generative AI Specialist
Position Overview
We are seeking a highly motivated and results-driven Data Scientist with Generative AI expertise to join our growing team. This role requires a professional with a strong foundation in traditional Data Science, including statistical modeling, Machine Learning (ML), and Deep Learning (DL), while also possessing hands-on experience with modern Generative AI and Large Language Model (LLM) solutions.
The ideal candidate will have excellent analytical and problem-solving skills, strong SQL expertise, and the ability to work independently with minimal supervision. This position is highly stakeholder-facing and requires someone who can translate business problems into scalable data-driven solutions.
Required Skills & Qualifications
Primary Skills
· Strong foundation in Data Science, including:
o Statistical Modeling
o Machine Learning Algorithms
o Deep Learning Techniques
· Hands-on experience with Generative AI, Large Language Models (LLMs), and AI-driven solution development.
· Strong SQL expertise with the ability to analyze and manipulate data in:
o Oracle (On-Premises)
o Google Cloud Platform (Google Cloud Platform)
o Amazon Web Services (AWS)
· Ability to independently solve complex business problems with minimal guidance.
· Strong communication, presentation, and stakeholder management skills.
Secondary Skills
· Understanding of MLOps concepts, workflows, and model lifecycle management.
· Experience collaborating with MLOps teams for model deployment and monitoring activities.
· Exposure to cloud-based data platforms and analytics ecosystems within Google Cloud Platform and AWS.
Skills
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