Lead AI/ML Engineer
Capitaltg · Remote
About this role
**Lead AI/ML Engineer** **Capital Technology Group (CTG)** provides consulting services across software development, digital transformation, human-centered design, data analytics & visualization, and cybersecurity. --- ## Client Requirements - Applicants **MUST** be **U.S. Citizens** - Must be able to obtain **Public Trust** clearance --- ## About the Role CTG is seeking a **Lead AI/ML Engineer** to lead the design, evaluation, and implementation of AI/ML solutions supporting high-impact federal initiatives. You’ll partner with federal clients, mentor engineering teams, and help drive enterprise adoption of emerging AI technologies. --- ## You Will Get To - Lead technical evaluations of emerging AI/ML technologies via prototypes, proof of concepts, and experimentation - Analyze and communicate benefits, tradeoffs, and implementation risks to technical and business stakeholders - Design, develop, and deploy production-ready AI/ML applications in **AWS** - Support AI/ML development across **development, operations, and security** in cloud-native environments - Drive enterprise adoption of modern AI technologies and engineering best practices - Build, train, evaluate, and optimize machine learning models for production use cases - Collaborate directly with clients and cross-functional engineering teams to deliver mission-critical solutions - Mentor engineers and support the professional growth of junior team members - Present technical findings, experiment results, and architectural recommendations to internal leadership and federal customers --- ## Who You Are - A technical leader who enjoys solving complex engineering and machine learning challenges - Passionate about applying AI to meaningful, real-world problems in the federal government - Comfortable leading technical discussions with engineers, architects, and executive stakeholders - Curious about emerging AI technologies and excited to evaluate new tools and platforms - A collaborative mentor who drives technical excellence while helping teams grow - An excellent communicator who can translate complex technical concepts into actionable recommendations --- ## Qualifications - **Bachelor’s degree** in Computer Science, Data Science, Engineering, Mathematics, Information Systems, or related field (or equivalent experience) - **7–10 years** of professional experience in software and/or cloud engineering - At least **3 years** deploying production enterprise applications in **AWS** - At least **2 years** deploying production **AI/ML** applications in enterprise environments - Strong proficiency in **Python** - Experience with ML frameworks such as **TensorFlow** or **PyTorch** - Experience with AI/ML platforms/services including **Amazon Bedrock, SageMaker, Hugging Face, Weights & Biases**, or similar - Strong data analysis/manipulation with **pandas** - Experience visualizing and presenting experiment results (e.g., **matplotlib**) - Experience working within **AWS cloud environments** - Ability to quickly learn new technologies and contribute across multiple projects - Strong analytical, communication, and problem-solving skills - Comfortable presenting technical solutions to clients and executive stakeholders --- ## Nice to Have - Experience leading/managing engineering teams - Experience mentoring software engineers or machine learning engineers - Experience with **LLMs**, **Generative AI**, **RAG**, or **AI agents** - Experience deploying AI solutions using **MLOps** b
Listing freshness
CronJobs last confirmed this listing 2h ago. If its source stops confirming the opening for seven days, this page is removed from active inventory.