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Lead Machine Learning Engineer

CYNET SYSTEMS

  • Newark, NJ
  • Today
  • $55–$60 Per Hour
  • Temporary
  • Contractor
  • Part-time

Highlights

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. 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.

Numbers & Facts

LocationNewark, NJ
Job TypeTemporary, Contractor, Part-time
Salary$55–$60 Per Hour
HeadquartersNewark, NJ, US

Description

Pay Range: $55.00hr - $60.00hr

Job Overview:

We are seeking a Lead Machine Learning Engineer to architect, develop, deploy, and scale Machine Learning and Agentic AI solutions that address complex business challenges. This role requires close collaboration with Product, Data Science, and Engineering teams to deliver production-grade AI systems.

Key Responsibilities:

  • Design, develop, and deploy ML models and Agentic AI solutions.
  • Build scalable cloud-based ML applications and data pipelines.
  • Develop and optimize MLOps processes, CI/CD pipelines, and model deployment frameworks.
  • Monitor model performance, governance, observability, and reliability.
  • Lead technical problem-solving and mentor engineering team members.
  • Develop applications using Python, C++, SQL, and modern AI frameworks.

Required Skills:

  • Strong experience in Traditional Machine Learning and Agentic AI.
  • Expertise in MLOps, Model Deployment, and Cloud Engineering.
  • Solid background in Software Engineering and System Design.
  • Hands-on experience with TensorFlow, PyTorch, Scikit-learn, Spark/PySpark, and REST APIs.
  • Experience with CI/CD tools such as GitHub Actions, Jenkins, or CloudBees.
  • Strong understanding of data engineering, distributed systems, and AI lifecycle management.

Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Excellent problem-solving, communication, and collaboration skills.
  • Experience working in Agile development environments.

Top Skills:

  • Traditional Machine Learning & Agentic AI.
  • MLOps / Model Deployment & Cloud Engineering.
  • Software Engineering & System Design.

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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