Lead AI/ML Engineer

🕒 October 9

🇺🇸 United States – Remote

💵 $180k - $230k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 11%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Capital Technology Group, LLC

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2010

💼 Consulting

📦 Logistics

🎖️ Defense

Consulting • Logistics • Defense

Capital Technology Group is a technology firm that specializes in solving complex business problems through digital services. They offer a range of IT professional services including data integration, custom application development, digital transformation, and information security. Their expertise encompasses modernizing legacy processes, implementing automated DevSecOps pipelines, and using data science techniques to derive actionable insights from big data. The company is particularly focused on serving federal government clients, ensuring high-quality services that enhance operational efficiency.

📋 Description

• Lead technical evaluations of emerging AI/ML technologies through prototypes, proof of concepts, and experimentation • Analyze and communicate the benefits, tradeoffs, and implementation risks of new technologies to technical and business stakeholders • Design, develop, and deploy production-ready AI/ML applications within AWS cloud environments • Support AI/ML application development across development, operations, and security disciplines 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 • Provide technical leadership by mentoring engineers and supporting the professional growth of junior team members • Present technical findings, experiment results, and architectural recommendations to internal leadership and federal customers

🎯 Requirements

• Applicants must be U.S. Citizens • Ability to obtain a Public Trust clearance • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Information Systems, or a related technical field (or equivalent experience) • 7–10 years of professional experience in 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 proficiency in Python • Experience with machine learning frameworks such as TensorFlow or PyTorch • Experience with AI/ML platforms and services including Amazon Bedrock, SageMaker, Hugging Face, Weights & Biases, or similar technologies • Strong data analysis and manipulation experience using pandas • Experience visualizing and presenting experiment results using tools such as 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

🏖️ Benefits

• Remote Work (Hybrid roles will be specified in the job post) • Competitive Compensation Package • Medical, Dental, and Vision • Life Insurance, Short/Long Term Disability • Employee Assistance Program • 401(k) with 4% matching • Liberal PTO vacation policy • Generous Annual Continuing Education • Annual Wellness Budget • Bonus Incentive Programs (Employee referrals and performance-based rewards)

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