Demo

Sr. Data Scientist

Connvertex Technologies Inc.
Raleigh, NC Temporary
POSTED ON 1/17/2025
AVAILABLE BEFORE 4/12/2025

Job Description

Job Description

Sr. Data Scientist

Location : Candidate local to Raleigh is strongly preferred (hybrid schedule 2x per week)

12 months contract

PLEASE REVIEW IN DETAILS AS CANDIDATES WILL NEED TO HAVE THE FOLLOWING SKILLS (NO EXCEPTIONS) :

  • Master's or PhD Preferred!
  • 5-10 years of experience in AI and machine learning, model building and strong coding skills in python
  • 2 years of working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc. UTILIZING RAG!
  • Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.
  • Experience with conversational search / semantic search, reinforcement learning, prompt engineering, hallucination mitigation
  • DevOps repos Debugging, building APIs and managing the algorithm flow across multiple workstreams in one repo
  • Senior level experience deploying models in the Cloud (AWS) or Azure as secondary.

Nice to have : Candidate local to Raleigh is strongly preferred (hybrid schedule 2x per week)

  • FANG Experience (Facebook, Amazon, Netflix, Google, or even Microsoft)
  • Python Proficiency : Expert level of Python, with experience in writing efficient, clean, and modular code with ability to debug and test the new code thoroughly
  • RAG Systems
  • Experience and deep understanding of Retrieval-Augmented Generation, including concepts like embedding-based search, document retrieval, and combining retrieved information with LLMs.

  • Hands-on experience with advanced RAG platform development and maintenance.
  • Familiarity with knowledge base creation, indexing, and retrieval pipelines.

  • Knowledge of AI Architectures : Understanding of the end-to-end architecture of generative AI systems, including pre-processing, retrieval, ranking, and post-processing steps.
  • Prompt Engineering
  • Expertise in crafting effective prompts for LLMs tailored to specific tasks

  • Experience with techniques like zero-shot, few-shot prompting, prompt tuning, and chain of thought.
  • Content Generation
  • Understanding of generative AI applications in content creation, including best practices for producing accurate, coherent, and domain-specific outputs.

  • Ability to fine-tune components for custom use cases.
  • Debugging and Performance Tuning
  • Skills in profiling and optimizing LLM responses for latency and accuracy.

  • Experience diagnosing issues in complex multi-component systems.
  • 2. Monorepo and Collaboration Skills

  • Working in Monorepo Environments
  • Experience managing and contributing to large, centralized codebases (monorepos).

  • Understanding of version control workflows suited for monorepos (e.g., Git-based branching strategies).
  • Collaboration Tools and Practices
  • Proficient with CI / CD pipelines and tools like Jenkins, GitHub Actions, or GitLab CI.

  • Ability to work collaboratively with cross-functional teams in Agile settings.
  • Proficiency with code review practices and tools.
  • 3. AI and NLP Knowledge

  • NLP Expertise
  • Solid understanding of transformers, embeddings, and attention mechanisms.

  • Familiarity with techniques for handling domain-specific language models.
  • 4. Complementary Skills

  • Documentation and Communication
  • Ability to write clear technical documentation for processes, workflows, and API usage.

  • Strong communication skills for conveying technical insights to stakeholders.
  • Preferred Experience

  • Previous experience working in legal tech or domain-specific generative AI use cases.
  • Hands-on experience with deploying AI models in production at scale.
  • Familiarity with multilingual generative AI and fine-tuning for specific language like French
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