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AI/Machine Learning Subject Matter Expert III - Jersey City, NJ(Hybrid)

  • Source: LinkedIn
  • Harvey Nash
  • Hybrid
  • Jersey City
  • Senior

Job Description

Job Title: AI/Machine Learning Subject Matter Expert III

Location: Jersey City, NJ(Hybrid)

Duration: 6+ Months (Extendable)

(“US citizens and Green Card Holders and those authorized to work in the US are encouraged to apply. We are unable to sponsor H1b candidates at this time.”)

A reasonable, good faith estimate of the minimum and maximum hourly rate on W2 for this position is $65 to $80 with limited benefits.

Job Description:

  • 7+ years of industry experience in software engineering, data science, or machine learning, including technical leadership experience.
  • 2+ years of hands-on experience building and delivering Generative AI/LLM solutions, preferably production applications.
  • Proven experience architecting and operating large-scale production software, AI/ML systems, and/or data platforms.
  • Strong understanding of LLMs, embeddings, RAG, prompt engineering, context management, and modern GenAI architectures.
  • Hands-on experience building reasoning models via post-training techniques — supervised fine-tuning (SFT) on chain-of-thought/reasoning traces and reinforcement learning (RL) methods (e.g., RLHF, RLVR, PPO, GRPO, DPO) — including reward/verifier design and evaluating gains in multi-step reasoning.
  • Strong Python skills and experience with modern AI/ML and GenAI frameworks and tooling.
  • Experience with cloud-native architectures and production deployment of scalable applications.
  • Strong understanding of GenAI evaluation, testing, monitoring, security, and responsible AI practices.
  • Ability to translate business requirements into technical solutions and communicate complex technical decisions to both engineering and executive audiences.
  • Bachelor’s degree in Computer Science, Software Engineering, Machine Learning, Data Science, or a related technical field.

Skills

  • expert-lms
  • elearning-lms
  • Python
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