ABS Group is seeking an AI/ML Engineer to join our Artificial Intelligence Practice in support of a major federal modernization program. In this role, you will design, develop, and operationalize machine learning and artificial intelligence solutions that support mission applications and data-driven workflows.
You will help bring AI capabilities into production, build supporting pipelines and model operations workflows, and work across data science, engineering, and cloud teams to deliver scalable, secure, and trustworthy AI solutions. The scope of responsibility, degree of technical leadership, and level of independence expected will reflect the level at which this position is filled.
What You Will Do
Design, develop, and operate AI and machine learning capabilities for production applications and data workflows
Build and maintain data and model pipelines that support training, deployment, monitoring, and lifecycle management
Partner with data scientists, developers, and cloud engineers to productionize AI solutions
Implement MLOps and related engineering practices for model deployment, monitoring, retraining, and version control
Support generative AI and large language model implementations, including prompt workflows, retrieval-augmented generation, and vector-based retrieval patterns
Apply AI/ML to adjacent use cases such as test automation, workflow support, and operational optimization
Contribute to CI/CD, observability, and operational support for AI systems in secure environments
Support responsible AI and model governance practices, including explainability and compliance requirements
Document architectures, workflows, and engineering standards for project delivery
What You Will Need
Level and Compensation: This position may be filled at multiple career levels based on business need and the selected candidate's qualifications, relevant experience, and demonstrated capability. Typical leveling for this role is as follows:
Junior (0 to 4 years)
Mid-Level (5 to 9 years)
Senior (10 to 14 years)
Principal (15 or more years)
These ranges are guidelines only and are not the sole determining factor in level. The posted compensation range reflects the full range across all possible levels. Individual offers will be based on the level at which the candidate is hired, as well as factors such as skills, experience, internal equity, and geographic market considerations where applicable.
Education and Experience
Bachelor's degree in Computer Science, Data Science, Software Engineering, Engineering, or a related technical field; Master's degree preferred
Relevant professional experience in AI engineering, machine learning engineering, or related software engineering roles; the depth and scope of experience required will vary based on the level at which this position is filled
Experience deploying or supporting machine learning and AI systems in production environments preferred
Experience working in cloud-based or hybrid technical environments preferred
Knowledge, Skills, and Abilities
Proficiency in Python
Familiarity with frameworks such as TensorFlow, PyTorch, and scikit-learn
Familiarity with MLOps, CI/CD for ML, and model monitoring concepts and practices
Exposure to LLMOps, AIOps, RAG, and vector databases
Experience building or supporting data pipelines for AI/ML applications
Understanding of software engineering and DevSecOps practices for production systems
Strong collaboration skills across technical teams and stakeholders
Nice to Have
Experience supporting production ML at scale
Experience with AWS, Azure, or GCP AI/ML services
Familiarity with federal, public sector, or regulated AI environments
Exposure to NLP, classification, survey analytics, or entity resolution use cases
Location
This position is based in the Washington, D.C. metro area, with primary work performed in Suitland, Maryland. Remote or hybrid arrangements may be available for eligible work, subject to government approval.
ABS is a global leader in marine and offshore classification and other innovative safety, quality, and environmental services. We’re at the forefront of supporting the global energy transition at sea, the application of remote and autonomous marine systems, cutting-edge technical solutions, and many more exciting advancements. Our commitment to safety, reliability, and efficiency is ever-present, guiding our clients to safer and more efficient operations.
About Our Benefits
ABS Group proudly offers a variety of industry-leading benefits designed to enhance the life and well-being of our employees and their families. These benefits include, but are not limited to, medical insurance (PPO and HD), dental and vision insurance, Health Savings account (HSA), Flexible Savings Account (FSA), life insurance, accidental death and dismemberment insurance, disability leave programs, parental leave program, paid holidays, and paid vacation time. The Company provides an Employee Assistance Plan (EAP) that offers additional support in personal wellness, including work-life services. ABS Group also offers a 401K plan with a generous company match, subject to plan requirements.
Equal Opportunity
The ABS Group of Companies is committed to the equal employment opportunity of its employees and prohibits discrimination against any employee or qualified applicant based on race, color, creed, religion, national origin, sex, gender identity, age, disability, marital status, sexual orientation, citizenship status or veteran status, or other non-work-related characteristics that may be protected under the law of the Federal Government or specific state employment laws.
Notice
ABS and Affiliated Companies (ABS) will not pay a fee to any third-party agency without a valid ABS Master Service Agreement (MSA) authorized and signed by Human Resources. Any resume, CV, application, or other forms of candidate submission provided to any employee of ABS without a valid MSA on file will be considered property of ABS, and no fee will be paid.
Other
This job description is not intended, and should not be construed, to be an all-inclusive list of responsibilities, skills, efforts or working conditions associated with the job of the incumbent. It is intended to be an accurate reflection of the principal job elements essential for making a fair decision regarding the pay structure of the job. #ogjs