Why This Role Stands Out
This hybrid Technical Project Manager role offers a competitive hourly rate and the chance to lead cutting-edge AI/ML and Generative AI programs, fostering significant career growth. You'll thrive here if you possess extensive experience managing complex technical projects and a strong understanding of AI technologies, making this an excellent opportunity to make a substantial impact. Apply today to leverage your expertise in this dynamic environment!
Quick Overview
Job Description
We are looking for Technical Project Manager for our client in Santa Clara, CA.
Job Title: Technical Project Manager
Job Location: Santa Clara, CA
Job Type: Contract
Job Overview:
Pay Range: $60.00hr - $65.00hr
Requirement/Must Have:
- 12+ years of Project/Program Management experience.
- 8+ years managing AI/ML, Data Science, Advanced Analytics, or Generative AI programs.
- Strong understanding of Machine Learning, Deep Learning, Generative AI / LLMs, RAG Architecture, Agentic AI, MLOps / LLMOps, and Data Engineering & Analytics.
- Experience with Azure AI, AWS AI, Databricks, Snowflake, Python, and SQL.
- Familiarity with AI governance, model evaluation, security, and compliance.
- Strong stakeholder management and executive communication skills.
- Experience managing globally distributed teams.
- Knowledge of semiconductor manufacturing processes, yield optimization, and process control.
- Experience with equipment analytics and predictive maintenance.
- Familiarity with Fab automation and smart manufacturing.
- Experience with anomaly detection and equipment failure prediction.
- Knowledge of Process Diagnostics & Control (PDC) tools.
- Experience with Digital Twin and Computer Vision solutions.
Responsibilities:
- Lead large-scale AI/ML and Generative AI programs from ideation through deployment.
- Manage cross-functional teams including Data Scientists, ML Engineers, Data Engineers, Architects, and Product Owners.
- Drive requirements gathering, roadmap definition, planning, budgeting, and stakeholder management.
- Coordinate AI model development, MLOps deployment, validation, governance, and production rollout.
- Partner with business teams to identify and prioritize AI use cases.
- Manage Agile/Scrum delivery, sprint planning, risk management, and executive reporting.
- Drive AI adoption, change management, and business value realization.
- Present program updates to senior leadership and customer executives.
- Manage vendor and offshore delivery teams.
Nice to Have:
- Experience working directly with semiconductor business units.
- Semiconductor Data Analytics and Manufacturing Intelligence programs.
- Enterprise AI platform implementations including Microsoft Copilot, Agentic AI, and AI Assistants.
- Knowledge of SAP, MES, PLM, and semiconductor engineering systems.
Skills:
- AI/ML.
- Data Science.
- Advanced Analytics.
- Generative AI.
- Azure AI.
- AWS AI.
- Databricks.
- Snowflake.
- Python.
- SQL.
- Enterprise AI platform implementations.
- Data Engineering.
- Project Management.
Qualification And Education:
- PMP / PgMP certification preferred.
- Certified Scrum Master (CSM) preferred.
- SAFe Agilist certification preferred.
- Microsoft Azure AI Engineer certification preferred.
==
- 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
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.
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