Artificial Intelligence​/Machine Learning Engineer

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.

• 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, particularly language 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.

• Deploy and scale models using AWS Sage Maker and other AWS tools, including Lambda
  , EC2
  , and S3
  .
• 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 as MLFlow or Git
  .
• Use containerization and GPU-related technologies, including Deep Learning Containers (DLC) and Kubernetes
  .

• Two (2) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity.
• A B.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.

• Knowledge and experience with language models
  , including Marian and multi-lingual model development.
• Knowledge of computational linguistics
  .
• Experience with open-source model libraries
  .
• Optimization and tuning experience.
• Strong programming experience in Java
  , C, and C++.
• Strong proficiency in AI/ML frameworks such as Tensor Flow
  , Py Torch , or Hugging Face
  .
• Hands-on experience with AWS tools including Sage Maker
  , Lambda
  , EC2
  , and S3
  .
• Experience developing full-stack software applications using technologies such as Java Script ,
  Python
  , and Java
  .
• Solid understanding of data structures, algorithms, and system design.
• Extensive experience in machine learning model development, including NLP
  .
• Experience with model evaluation, optimization, and performance monitoring.
• Familiarity with containerization tools such as Kubernetes
  .

• Marian, Tensor Flow,…