Note: The job is a remote job and is open to candidates in USA. Attain Talent provides consulting services in software development, digital transformation, human-centered design, data analytics and visualization, and cybersecurity for federal and commercial clients. The Lead AI/ML Engineer will lead the evaluation, design, development, and deployment of AI/ML solutions in AWS environments while driving technology adoption, mentoring engineers, and collaborating with federal clients and stakeholders.
Responsibilities
- 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
Skills
- 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
- 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
Benefits
- Remote Work (Hybrid roles will be specified in the job post)
- 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)
- This role is eligible for an annual discretionary bonus
Company Overview