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AI/ML SME – AI/Machine Learning Subject Matter Expert III

CYNET SYSTEMS

  • Jersey City, NJ
  • Today
  • $65–$95 Per Hour
  • Temporary
  • Contractor
  • Part-time

Highlights

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. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers.

Numbers & Facts

LocationJersey City, NJ
Job TypeTemporary, Contractor, Part-time
Salary$65–$95 Per Hour
HeadquartersJersey City, NJ, US

Description

Job Overview:

Pay Range: $65.42hr - $95.50hr

Requirement/Must Have:

  • 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 effectively with engineering and executive audiences.
  • Bachelor's degree in Computer Science, Software Engineering, Machine Learning, Data Science, or a related technical field.

Skills:

  • AI/ML.
  • Generative AI.
  • LLM.
  • Python.
  • RAG.
  • Prompt Engineering.
  • Supervised Fine-Tuning (SFT).
  • Reinforcement Learning (RL).
  • RLHF.
  • Cloud-native architectures.

Qualification And Education:

  • Bachelor's degree in Computer Science, Software Engineering, Machine Learning, Data Science, or a related technical field.

Benefits:

Our Benefits Include:

  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities

Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.


About Cynet Systems


Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.

As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

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