Artificial Intelligence (AI) Engineer

Belay Technologies•Annapolis Junction, MD

1d•$120,000 - $220,000

About The Position

Belay Technologies is seeking an Artificial Intelligence (AI) Engineer to support a critical mission Report Authoring and Dissemination (RAD) system. The AI Engineer will work closely with system and software engineers to design, prototype, and integrate AI advancements into the existing RAD architecture. This is a transformative position focused on building solutions that augment human intelligence, streamline workflows, and enhance the overall effectiveness of intelligence operations. At Belay, we are committed to creating an environment where you can thrive both professionally and personally. We believe in transparency and fairness in compensation. Several factors influence final salary, including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, education, specific skills and competencies, and certifications. Belay offers a competitive total compensation package that includes benefits and perks, a flexible work-life balance, and career development. Salary Range: $120,000.00 to $220,000.00. Belay Technologies is a certified Service-Disabled Veteran-Owned Small Business located in Columbia, Maryland (Baltimore/Washington area). Belay Technologies specializes in systems automation and full stack development. Belay Technologies provides leading technology and engineering solutions to the DoD, as well as state-of-the-art commercial products. We hire software engineers, web designers, test engineers, systems engineers, systems administrators, database engineers and other tech services. We are an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

Requirements

Design and Development: Lead the design and development of AI-driven solutions from conception to deployment, ensuring seamless integration with the existing software architecture. This includes prototyping new models, writing production-quality code, and maintaining existing AI systems.
Collaboration and Communication: Serve as a key technical liaison, collaborating with cross-functional teams including system engineers, software developers, and domain experts. Effectively present and articulate recommended AI approaches, discussing the tradeoffs and implications of different implementations with both technical and non-technical stakeholders.
Data Analysis and Modeling: Conduct Exploratory Data Analysis (EDA) on diverse datasets (both structured and unstructured) to inform the data model, identify data quality issues, and determine optimal input formats for AI models.
Model Building and Evaluation: Develop, train, and evaluate a variety of machine learning models, ensuring they meet performance and reliability requirements. Implement robust testing and validation strategies to ensure models are accurate and unbiased.
Continuous Improvement: Stay current with the latest advancements in AI and machine learning, continuously seeking opportunities to apply new technologies and methodologies to improve existing systems and solve complex problems.
Cloud Platforms: Have experience with the Amazon Web Services (AWS) cloud computing platform and machine learning operations (MLOps) tools for deploying and managing machine learning models at scale.

Responsibilities

Design and Development: Lead the design and development of AI-driven solutions from conception to deployment, ensuring seamless integration with the existing software architecture. This includes prototyping new models, writing production-quality code, and maintaining existing AI systems.
Collaboration and Communication: Serve as a key technical liaison, collaborating with cross-functional teams including system engineers, software developers, and domain experts. Effectively present and articulate recommended AI approaches, discussing the tradeoffs and implications of different implementations with both technical and non-technical stakeholders.
Data Analysis and Modeling: Conduct Exploratory Data Analysis (EDA) on diverse datasets (both structured and unstructured) to inform the data model, identify data quality issues, and determine optimal input formats for AI models.
Model Building and Evaluation: Develop, train, and evaluate a variety of machine learning models, ensuring they meet performance and reliability requirements. Implement robust testing and validation strategies to ensure models are accurate and unbiased.
Continuous Improvement: Stay current with the latest advancements in AI and machine learning, continuously seeking opportunities to apply new technologies and methodologies to improve existing systems and solve complex problems.
Cloud Platforms: Have experience with the Amazon Web Services (AWS) cloud computing platform and machine learning operations (MLOps) tools for deploying and managing machine learning models at scale.

Benefits

8 weeks paid leave: 4 weeks of personal leave, 3 Yay! days, take off on your birthday,11 paid holidays, and optional leave up to 6 days through Belay's volunteer program
10% matching in 401(k) contributions vested on day one
$5,000 annual training/tuition
Student Loan Repayment Program
100% company-funded HSA
Rich medical coverage (100% coinsurance)
Dental coverage, including orthodontia
Up to $420,000 in life insurance, premiums 100% company funded
Amazon Prime, gym reimbursement, monthly lunches, games, and prizes
Pet adoption program, generous referral bonus program, fun events, and more!