Lead Machine Learning Engineer
Listed on 2026-10-18
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, DevOps, Cloud Engineer - Software
Salary: $114, per year
Requirements- Strong experience with traditional machine learning and Agentic AI
- Expertise in MLOps, model deployment, and cloud engineering
- Solid foundation in software engineering and system design
- Hands-on experience with Tensor Flow, PyTorch, Scikit-learn, Spark or PySpark, and REST APIs
- Experience with CI/CD tools such as Git Hub Actions, Jenkins, or Cloud Bees
- Strong understanding of data engineering, distributed systems, and AI lifecycle management
- Bachelors degree in Computer Science, Engineering, or a related field
- Strong problem-solving, communication, and collaboration skills
- Experience working in Agile development environments
- Design, build, and deploy machine learning models and Agentic AI solutions
- Create scalable, cloud-based ML applications and data pipelines
- Develop and optimize MLOps processes, CI/CD pipelines, and model deployment frameworks
- Monitor model performance, governance, observability, and reliability
- Lead technical problem-solving and mentor engineering team members
- Develop applications using Python, C++, SQL, and modern AI frameworks
- Collaborate with Product, Data Science, and Engineering teams to deliver production-ready AI systems
- Agentic AI
- AI
- Architect
- CI/CD
- Cloud
- Git Hub
- Jenkins
- Machine Learning
- MLOps
- Py Torch
- Python
- Py Spark
- REST
- SQL
- Spark
- Tensor Flow
- Security
We are seeking a Lead Machine Learning Engineer to architect, develop, deploy, and scale AI solutions for complex business challenges. The pay range is $55–$60 per hour. Our benefits include medical, dental, and vision insurance; a 401(k) retirement plan; a health savings account; disability and life insurance; paid sick leave where required by law; supplemental insurance; identity theft protection; pet insurance;
wellness programs; an employee assistance program; and career development opportunities. Benefit eligibility and terms may vary by employment status, length of service, and work location, and plans may be modified in accordance with applicable laws. Founded in 2010 and headquartered in the Washington, DC metro area, we are a technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada.
We provide staffing solutions across IT, engineering, life sciences, clinical, and professional fields, and are a certified Minority Business Enterprise. Our organization holds ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II certifications.
last updated 41 week of 2026
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