Cleared AI/ML Engineer (5785)

SMX

4d•$115,000 - $180,000

About The Position

SMX is seeking an AI/ML Engineer to support a Modernized Data Science Platform for a Federal customer. The role bridges business needs and technical solutions through modern AI capabilities. The engineer designs and develops AI agents, researches AI capabilities in tools such as Databricks and Palantir, and establishes standardized practices for developers. The role also involves prompt engineering large language models, developing chatbots, and training machine-learning models to predict outcomes from historical data. The successful candidate will work with an agile, cross-functional development team, contribute independently, and share knowledge through code reviews and documentation. An active DoD Secret security clearance or the ability to obtain one is required, as is U.S. citizenship. The role requires a bachelor's degree in Computer Science or a related field and six years of related experience, including at least two years of hands-on AI model training experience. The proposed salary range is $115,000–$180,000 USD. SMX notes that compensation is determined using factors including location, contract labor categories, relevant experience, skills, education, and certifications. Benefits include health insurance, paid leave, and retirement, along with learning and development opportunities. The selected applicant may be subject to a background investigation and/or education verification. SMX does not provide immigration-related employment authorization sponsorship for this position.

Requirements

U.S. citizenship and an active DoD Secret security clearance, or the ability to obtain one.
Bachelor's degree in Computer Science or a related field.
Six years of related work experience.
At least two years of hands-on development experience training AI models.
Experience integrating AI capabilities into Dev/Ops pipelines to expedite coding and delivery.
Experience developing agents using OpenAI LLMs.
Experience developing AI chatbots to support business requirements.
Experience training ML models on live or production datasets for predictive analysis and data-anomaly identification.
Experience working with agile development methodology.
Familiarity with relational and non-relational database design and architecture.
Strong analytical, problem-solving, and decision-making skills.
Ability to work cross-functionally and participate in discussions.
Ability to work independently on assigned tasks without supervision.
Experience sharing knowledge through activities such as code reviews and solid documentation.
Driven, self-directed personality and a strong sense of mission and commitment to making a difference.

Nice To Haves

Exceptional communication skills and the ability to foster positive outcomes among people and teams with diverse interests.
Experience working with the DoD.

Responsibilities

Design and develop AI agents to expedite development of capabilities that meet business functional requirements.
Research AI capabilities in tools such as Databricks and Palantir and standardize how developers use those capabilities.
Prompt-engineer LLMs for the development team to expedite functional analysis and coding.
Develop chatbots to support developer and customer interactions.
Train machine-learning models to predict outcomes based on historical data inputs.