Lead AI Scientist
Job in
Durham, Durham County, North Carolina, 27703, USA
Listed on 2026-09-21
Listing for:
BlackCube Labs
Full Time
position Listed on 2026-09-21
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
Request : 108756-1
Title: Lead AI Scientist
Locations: - Durham, NC - 100% ONSITE FROM DAY 1
Duration: 06 Months
Pay Range: $70 - $75/Hour on W2/C2C (All inclusive) Introduction
Drive the future of AI Transformation as part of Agent Ops. Inspire innovation. Empower learning. Join our Office of Chief Technology Officer (OCTO) to set the technical direction for model training and adaptation in the Agent Ops team.
RequiredSkills & Qualifications
- Demonstrated hands-on experience post-training and fine-tuning foundation models, including supervised fine-tuning, parameter-efficient methods such as LoRA or QLoRA, preference optimization such as RLHF or DPO, or distillation.
- Strong Python and deep learning framework skills, including distributed or multi-GPU training.
- Rigor in data curation, experiment design, and evaluation with evidence of model improvement.
- Depth in one or more AI/ML areas, plus the breadth to make architecture and tooling decisions for a team.
- Experience with public cloud platforms and their AI-related services, and with taking models into production.
- A track record of setting technical standards and mentoring other engineers or scientists.
- Clear communication with senior and non-technical audiences, including trade-offs, cost, and risk.
- Understanding of how AI/ML applies to educational content, assessment, and personalized learning.
- Prior work experience at client or in client's Industry
Applicants must be able to work directly for Artech on W2
PreferredSkills & Qualifications
- Experience in AI Transformation for HR.
- Experience with AI Agents.
- Experience with Python Web Frameworks.
- Set the technical direction for model training and adaptation within the team.
- Translate model behavior into actionable decisions for business stakeholders.
- Mentor and guide team members to enhance their skills and capabilities.
- Ownership of a technical domain at the center of AI transformation.
- Direct influence on enterprise-wide AI decisions and the standards behind them.
- A collaborative, inclusive, and innovation-driven culture.
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