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Lead AI/ML Engineer

3 weeks ago
United States
Full-time
Lead
Machine Learning Engineer
Software Development
Agile AWS CI/CD Cybersecurity DevSecOps Docker Generative AI Hugging Face Kubernetes LLM Machine Learning Matplotlib MLOps Pandas Python PyTorch TensorFlow
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Capital Technology Group

Capital Technology Group

Capital Technology Group offers technical leadership and expert consulting services for enterprise architecture, application integration, custom development, big data, and search. With a focus on solving business problems through technology, CTG ensure...

Internet Software & Services
51-200
Founded 2010
View All Jobs 7

Description

  • Lead evaluations of emerging AI/ML technologies through prototypes, proof of concepts, and experimentation.
  • Analyze and communicate technology benefits, tradeoffs, and implementation risks to technical and business stakeholders.
  • Design, develop, and deploy production-ready AI/ML applications in AWS cloud environments.
  • Build, train, evaluate, and optimize machine learning models for production use cases.
  • Support AI/ML development across engineering, operations, and security in cloud-native environments.
  • Drive adoption of modern AI technologies and engineering best practices across the enterprise.
  • Collaborate with federal clients and cross-functional engineering teams to deliver mission-critical solutions.
  • Mentor engineers and support the growth of junior team members.
  • Present experiment results, technical findings, and architectural recommendations to leadership and federal customers.

Requirements

  • Bachelor’s degree in a related technical field or equivalent experience.
  • 7–10 years of professional software engineering or cloud engineering experience.
  • At least 3 years of experience deploying production enterprise applications in AWS.
  • At least 2 years of experience deploying production AI/ML applications in enterprise environments.
  • Strong Python proficiency and experience with TensorFlow or PyTorch.
  • Experience with AI/ML platforms such as Amazon Bedrock, SageMaker, Hugging Face, or Weights & Biases.
  • Experience with data analysis using pandas and experiment visualization using matplotlib.
  • U.S. citizenship and ability to obtain a Public Trust clearance.
  • Experience leading or mentoring engineering teams, preferably in federal, regulated, or mission-critical environments.
  • Experience with LLMs, Generative AI, RAG, AI agents, MLOps, Docker, Kubernetes, CI/CD, or DevSecOps practices (preferred).

Benefits

  • Estimated annual salary range of $180,000–$230,000.
  • Remote work options.
  • Medical, dental, and vision coverage.
  • Life insurance and short- and long-term disability coverage.
  • 401(k) with 4% employer matching.
  • Liberal PTO policy.
  • Annual continuing education support and wellness budget.
  • Bonus incentives for referrals and performance.

Interested in this position?

Apply directly on the company website

Apply Now

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