Lead AI/ML Engineer

Attain Talent

Lead AI/ML Engineer designing and deploying AWS-based solutions for federal government initiatives. Evaluating emerging technologies, building production models, and mentoring engineering teams.

Posted 8/17/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $180,000 - $230,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing, developing, and deploying AI/ML applications within AWS cloud environments, with a strong focus on building and optimizing machine learning models. Proven ability to lead technical evaluations, mentor engineers, and effectively communicate technical findings to stakeholders.

Highest-signal resume keywords

AI/ML Application DevelopmentAWS Cloud EnvironmentsPython ProgrammingMachine Learning Model OptimizationData Analysis with Pandas

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

AI/ML TechnologiesMachine LearningSoftware EngineeringCloud EngineeringData ManipulationPrototypingProof of Concept DevelopmentExperimentationTechnical EvaluationProduction Deployment

Soft Skills

Analytical SkillsCommunication SkillsProblem-Solving SkillsMentoringCollaboration

Tools & Technologies

AWSTensorFlowPyTorchAmazon BedrockSageMakerHugging FaceWeights & BiasesMatplotlibPandasCloud-Native Environments

Certifications & Qualifications

Bachelor's Degree in Computer SciencePublic Trust Clearance

Industry Keywords

AI TechnologiesMachine Learning ModelsEnterprise ApplicationsCloud-Native DevelopmentTechnical Stakeholders

Tech Stack

Tools & technologies

AWSCloudPandasPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Lead technical evaluations of emerging AI/ML technologies through 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 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 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 leadership and federal customers.

Requirements

What you’ll need

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
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 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
Applicants must be U.S. Citizens
Ability to obtain a Public Trust clearance

Benefits

Comp & perks

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)
Annual discretionary bonus eligibility