Data Scientist, Generative AI - IFS Copperleaf
Data Scientist, Generative AI - IFS Copperleaf
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Salary Not Disclosed
1 Vacancy
Job Description
The AI Core team atIFS Copperleafis driving our AI-first strategy by building and scaling production-grade generative AI services that power enterprise SaaS solutions. As theLead Generative AI Engineer you will set technical direction guide the development of domain-specific generative models and lead engineering efforts across fine-tuning evaluation and deployment. Youll work closely with engineering product and research stakeholders to deliver highly impactful AI capabilities.
This role is approximately70 % hands-on model development and infrastructure leadership and30 % technical strategy and cross-functional collaboration.
What Youll Do
Lead the design fine-tuning and optimization of large language models (LLMs) applying techniques such as supervised fine-tuning (SFT) parameter-efficient tuning (LoRA/Q-LoRA) and reinforcement learning from human feedback (RLHF).
Architect and oversee data pipelines for LLM training including synthetic data generation human-in-the-loop annotation and domain-specific corpus curation.
Design and implement robust evaluation frameworks to ensure model quality mitigate hallucinations and support continuous improvement.
Lead the development of retrieval-augmented generation (RAG) systems using vector databases graph stores and structured data integrations to ground LLM responses in enterprise knowledge.
Guide infrastructure choices for model training and inference including orchestration frameworks model serving tools (vLLM Triton) and scalable Azure-based deployment strategies.
Build and maintain a model catalog with documented capabilities performance dashboards and demos.
Stay on the cutting edge of open-source and commercial GenAI tooling proposing and piloting next-gen features aligned with business priorities.
Collaborate cross-functionally with product managers designers and domain experts to ensure successful delivery of impactful AI-powered solutions.
Qualifications :
7 yearsof experience in ML/AI engineering or applied research roles with at least3 years focused on LLMs or generative AI.
Proven leadership in delivering LLM-based features to productionfine-tuning prompt engineering evaluation and model deployment.
Strong expertise inPython PyTorch Hugging Face Transformers and PEFT libraries LangChain LlamaIndex and related GenAI frameworks.
Hands-on experience withAzure OpenAI Services Azure AI Search Azure ML and scalable model deployment on cloud infrastructure.
Familiarity with vector stores (FAISS Qdrant Pinecone) graph databases and retrieval architecture.
Strong software engineering skills and comfort with MLOps best practicesCI/CD containerization observability and versioning.
Excellent communication skills and a track record of technical leadership.
A pragmatic and outcome-driven approach to AI innovation in complex domains.
Additional Information :
What Were Offering
- Salary Range: $250000 - $275000 plus bonus
- Flexible paid time off including sick and holiday
- Flexible spending accounts
- Life insurance and disability benefits
- Tuition assistance
- Community involvement and volunteering events
We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles while also valuing inclusive workplace experiences. By fostering a sense of community we drive innovation strengthen connections and nurture belonging. Our commitment ensures you can work in a way that suits you best while also engaging with colleagues to share ideas and build meaningful relationships.
All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability or status as a protected veteran. VEVRAA Federal Contractor Equal Opportunity Employer
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
