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David Careers

Artificial Intelligence/Machine Learning Engineer 1

Posted yesterday

akinaHyattsville (MD)
Software DevelopersCustom Computer Programming Services

SENIORITY

Senior

SALARY

$170,000 - $208,000 per year

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About the role

Akina, Inc. is hiring an Artificial Intelligence/Machine Learning Engineer 1 to design, build, and transition AI/ML capabilities into production. In this onsite role in Annapolis Junction, MD, you will work across model development, evaluation, and cloud deployment, with a strong emphasis on language models and scalable environments.
Role overview:
  • Design, create, test, and productize AI/ML algorithms to address business challenges and customer requirements.
  • Work across model architecture, data pipeline interaction, and metrics application, interpretation, and presentation.
  • Build, train, and fine-tune machine learning models, particularlylanguage models .Apply best practices for training, tuning, and optimization, including iterative improvement through training, retraining, deploying, scheduling, and monitoring.
  • Lead system performance improvement by designing and implementing solutions for benchmarking, evaluation, and diagnostics.
  • Perform error analysis, debugging, and model diagnostics to support quality and reliability.
  • Integrate machine learning models into production environments and ensure seamless interaction with other systems.
  • Contribute to full-stack development for AI model-based applications, including front-end and back-end components.
  • Collaborate with software engineers to build scalable and efficient deployment pipelines.
  • Partner with data scientists, product teams, and engineers to translate business requirements into technical solutions.
  • Document workflows, model design processes, and technical specifications.
  • Select appropriate datasets, perform statistical analysis, run machine learning algorithms, and use results to improve models.
  • Run standard test and evaluation protocols and provide system integration oversight.
  • Support AI-related efforts as a primary POC, including potentially leading geographically diverse teams.
  • Cloud and tooling
  • Deploy and scale models usingAWS Sage
  • Makerand other AWS tools, including
  • Lambda , EC2, andS3 .Work with cloud-based AI platforms to manage the training and operational lifecycle of models, including retraining when needed.
  • Use model evaluation, optimization, and performance monitoring practices alongside deployment pipelines.
  • Support model versioning and management using tools such asMLFloworGit .Use containerization and GPU-related technologies, including
  • Deep Learning Containers (DLC)and
  • Kubernetes .
Required qualifications:
  • Two (2) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity.
  • AB.S.degree in advanced math (e.g., calculus, linear algebra, or Bayesian statistics), computer science, or a related STEM discipline from an accredited college or university.
  • Three (3) additional years of machine learning experience on projects with similar machine learning processes may be substituted for a bachelor’s degree.
  • Required technical and domain knowledge
  • Knowledge and experience withlanguage models, including
  • Marianand multi-lingual model development.
  • Knowledge ofcomputational linguistics .Experience withopen-source model libraries .Optimization and tuning experience.
  • Strong programming experience inJava , C, andC++ .Strong proficiency in AI/ML frameworks such asTensorFlow , PyTorch, orHugging Face .Hands-on experience with AWS tools including
  • SageMaker , Lambda , EC2, andS3 .Experience developing full-stack software applications using technologies such asJavaScript , Python, and
  • Java .Solid understanding of data structures, algorithms, and system design.
  • Extensive experience in machine learning model development, includingNLP .Experience with model evaluation, optimization, and performance monitoring.
  • Familiarity with containerization tools such asKubernetes .Technologies
  • Marian, TensorFlow, PyTorch, Hugging FaceAWS SageMaker, AWS Lambda, AWS EC2, AWS S3MLFlow, Git, Kubernetes
  • Deep Learning Containers (DLC), GPU technologies
  • Java, C, C++, JavaScript, PythonNLP, Large Language Models (LLMs)
  • Benefits24 daysPTO accrued annually11federal holidays 401kis 100% vested on your start date
  • Company direct contribution worth 10%of your salary
  • Akina covers 100%of healthcare costs for employees;50%toward dependents
  • Educational assistance toward college classes
  • Training and certification costs for job-related needs
  • Security clearanceTS/SCI- Polygraph required within 7 years
Desired skills:
  • Willingness to support occasional on-call duties
  • Experience in a government or defense-related environment
  • Experience with secure data handling and compliance requirements
  • Experience working withLLMsLocation and salary
Location: Annapolis Junction, MD (onsite)
Salary: USD170,000 - 208,000per year
The displayed range is likely based on experience, geographic location, and possible contractual requirements; actual compensation may fall outside this range.

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