Lead AI/ML Engineer
Attain Talent3 hours ago
Remote, United StatesStaff+
Base Salary
$180k - $230k/yr
Responsibilities
- Lead technical evaluations of emerging AI/ML technologies through prototypes, proofs of concept, 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 application development across development, operations, and security disciplines in cloud-native environments.
- Drive enterprise adoption of modern AI technologies and engineering best practices.
- Collaborate with federal clients and cross-functional engineering teams on 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.
Requirements
- 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 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 TensorFlow or PyTorch and AI/ML platforms or services such as Amazon Bedrock, SageMaker, Hugging Face, and Weights & Biases.
- Strong data analysis and manipulation experience using pandas.
- Experience visualizing and presenting experiment results using tools such as matplotlib.
- Experience working in AWS cloud environments and across multiple projects.
- Strong analytical, communication, and problem-solving skills, including presenting technical solutions to clients and executive stakeholders.
- U.S. citizenship and ability to obtain a Public Trust clearance.
- Preferred experience leading or managing engineering teams, mentoring engineers, and working with LLMs, Generative AI, RAG, AI agents, MLOps, Docker, Kubernetes, CI/CD, DevSecOps, and federal or highly regulated environments.
Benefits
- Remote work; hybrid roles are specified in the job post
- Full-time employee position
- Medical, dental, and vision insurance
- Life insurance and short-/long-term disability coverage
- Employee Assistance Program
- 401(k) with 4% matching
- Liberal paid time off vacation policy
- Annual continuing education benefit
- Annual wellness budget
- Bonus incentive programs for employee referrals and performance-based rewards
Tech Stack
Categories
About Attain Talent
Attain Talent connects top-tier talent with purpose-driven organizations in nonprofit, education, technology, and government sectors. We specialize in recruiting for mission-driven organizations across the nonprofit, education, and technology sectors. Our team combines corporate and executive search expertise with a flexible, high-touch approach that meets each client’s unique hiring goals. Backed by deep industry networks and a strategic, full-cycle search process, we deliver qualified candidates quickly—while maintaining an exceptional experience for both client and candidate. From sourcing to final selection, we make it easier to hire the right people, faster.