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Job opportunity
Lead AI/ML Engineer
Attain
United States - Remote
Source: Attain careers · View original posting
- Pay
- $180,000 — $230,000 USD per year
Employer job description
From Attain's posting. “We” and “our” refer to the employer.
Attain Talent is seeking a Lead AI/ML Engineer to lead the design, evaluation, and implementation of cutting-edge artificial intelligence and machine learning solutions supporting high-impact federal initiatives. This role is ideal for a senior technical leader who thrives at the intersection of AI, cloud engineering, and innovation, helping drive enterprise adoption of emerging technologies while mentoring engineering teams and partnering directly with federal clients.
You Will Get To
- 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.
- Who You Are
- A technical leader who enjoys solving complex engineering and machine learning challenges.
- Passionate about applying AI to solve meaningful, real-world problems within 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 enjoys helping teams grow while driving technical excellence.
- An excellent communicator capable of translating complex technical concepts into actionable recommendations.
Qualifications
- 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.
- Nice to Have
- Experience leading or managing engineering teams.
- Experience mentoring software engineers or machine learning engineers.
- Experience with Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), or AI agents.
- Experience deploying AI solutions using MLOps best practices.
- Experience with containerization technologies such as Docker and Kubernetes.
- Experience building CI/CD pipelines for AI/ML workloads.
- Familiarity with DevSecOps and secure software development practices.
- Experience supporting federal, highly regulated, or mission-critical environments.
- Client Requirements
- Applicants must be U.S. Citizens.
- Ability to obtain a Public Trust clearance.
Compensation
Salary
We are committed to offering a competitive salary for this position, with an estimated range of $180,000 to $230,000 annually. Please note that this range is intended to provide a general idea of what to expect. The final offer may vary based on experience, skills, and other factors.
Full Time Employee 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)
Attain Talent is committed to fair and equitable compensation practices. The individual base salary for this position is unique to each candidate and will be commensurate with experience, education, and skills.
Interested in this position but the compensation isn’t quite right? Let us know your expectations, and we’ll see if we can make it happen based on your qualifications.
Salary Range
$180,000 — $230,000 USD
Attain Talent is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
Applicants have rights under Federal Employment Laws. For more Information visit
EEO, EEO Poster Supplement, Family and Medical Leave Act (FMLA)
, and
Employee Polygraph Protection Act (EPPA).
If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.
About this listing
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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