Lead AI Engineer-Machine Learning

Posted 22 Days Ago
Parsippany, NJ, USA
In-Office
100K-115K Annually
Junior
Edtech • Software
The Role
Lead technical strategy, design and deploy scalable AI/ML systems. Lead end-to-end model development, productionize pipelines and infrastructure, troubleshoot models, measure impact, and mentor engineering teams.
Summary Generated by Built In
Job Summary & Responsibilities

Lincoln Tech is seeking a Lead AI Engineer -- Machine Learning to build efficient, data-driven AI systems that advance our predictive automation capabilities. You'll set the technical roadmap for our AI/ML stack, lead model development and deployment, and mentor others across the organization.

Requirements
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related technical field (advanced degree preferred)
  • 2+ years of experience in ML engineering
  • Proficiency in Python and solid experience with Java or Scala
  • Deep hands-on experience with TensorFlow, PyTorch, Scikit-Learn, or Spark MLlib
  • Experience with cloud platforms (AWS, Azure, or GCP) and their AI/ML services
  • Hands-on experience with CI/CD pipelines and containerization tools including Docker and Kubernetes
  • Experience with SDLC and Agile tools such as Jira, GitHub, Jenkins, and Confluence
  • Expertise in LLMs, Generative AI, Computer Vision, or NLP
  • Strong system design skills with deep understanding of data structures and software architecture
Responsibilities
  • Define the strategic direction for Lincoln Tech's AI/ML technology stack
  • Design and implement scalable, high-performance computing infrastructures for AI/ML and data mining
  • Lead end-to-end lifecycle of AI/ML applications from conceptualization through delivery and support
  • Create and optimize sophisticated AI systems including deep learning, generative AI, and advanced NLP models
  • Architect and maintain efficient data pipelines to clean, preprocess, and manage large datasets
  • Troubleshoot and resolve complex technical issues related to applications and models
  • Communicate complex AI/ML concepts and solutions to non-technical stakeholders and leadership
  • Identify high-value opportunities to leverage AI/ML and define metrics to measure effectiveness
  • Mentor and coach team members across the organization
Full-Time Benefits
  • Medical, Dental, Vision
  • Life and Disability Insurance
  • 401(k) with Company Match
  • Paid Time Off and Holidays
  • Growth Opportunities
About Us

For over 80 years Lincoln Tech has been one of the nation's leading providers of career training in Healthcare, Automotive/Diesel, Skilled Trades, and Information Technology.

Lincoln Tech is an Equal Opportunity and Affirmative Action Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.


911-22089 — Lead AI Engineer-Machine Learn-90064

Pay Range

$100,000-$115,000 per year

Skills Required

  • Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field
  • Master's degree in Computer Science, Data Science, Engineering, or related technical field
  • 2+ years of experience in ML engineering
  • Proficiency in Python
  • Solid experience with Java or Scala
  • Deep hands-on experience with TensorFlow, PyTorch, Scikit-Learn, or Spark MLlib
  • Experience with cloud platforms (AWS, Azure, or GCP) and their AI/ML services
  • Hands-on experience with CI/CD pipelines and containerization tools including Docker and Kubernetes
  • Experience with SDLC and Agile tools such as Jira, GitHub, Jenkins, and Confluence
  • Expertise in LLMs, Generative AI, Computer Vision, or NLP
  • Strong system design skills with deep understanding of data structures and software architecture
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The Company
HQ: Parsippany, NJ
3,284 Employees
Year Founded: 1946

What We Do

Lincoln Tech is a nationally recognized leader in hands-on career training. Since 1946, our 22 campuses across 12 states have helped thousands of graduates launch successful careers in high-demand fields. We specialize in practical, skills-based education for industries including Automotive, Diesel, Healthcare, Information Technology, and Skilled Trades such as Welding, Computerized Manufacturing, HVAC, Electrical, and Electronics.

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