SageCor Solutions

Artificial Intelligence Machine Learning 1 (FST - 148)

SageCor Solutions  •  Maryland (Onsite)  •  3 hours ago
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Job Description

Serving Maryland and the Greater Washington D.C. area, SageCor Solutions (SageCor) is a growing company bringing complete engineering services and true full lifecycle System Engineering services to areas requiring (or desiring) nationally-recognized expertise in high performance computing, large data analytics and cutting edge information technologies.

Active TS/SCI w/ Polygraph required.

Key Responsibilities:

  • Knowledge and experience of Language models is required

o Specific experience with Marian and multi-lingual model development

  • Knowledge of Computation Linguistics is a plus
  • Experience with Open-Source model libraries, Deep Learning Containers (DLC), GPU technologies and optimization / tuning
  • Strong Java, C, C++ programming experience
  • Willingness to support occasional on-call duties is a plus
  • Model Development & Training:

o Build, train, and fine-tune machine learning models, particularly language models

o Apply best practices in model training, tuning, and optimization.

o Design and implement solutions for model performance improvement.

  • Evaluation & Testing:

o Conduct rigorous model evaluation, including performance analysis and benchmarking.

o Perform error analysis, debugging, and model diagnostics to ensure quality and reliability.

  • Model Deployment & Integration:

o Work with cloud-based AI platforms (especially AWS Sagemaker) to deploy and scale models.

o Integrate machine learning models into production environments, ensuring seamless integration with other systems.

  • Full-Stack Engineering:

o Contribute to the development and maintenance of the full stack for AI model-based applications (front-end and back-end).

o Collaborate with software engineers to build scalable and efficient deployment pipelines.

  • Collaboration & Reporting:

o Work closely with data scientists, product teams, and engineers to translate business requirements into technical solutions.

o Document workflows, model design processes, and technical specifications.

Key Qualifications:

  • Technical Skills:

o Strong proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face.

o Expertise in model training, evaluation, and deployment.

o Hands-on experience with AWS tools like SageMaker, Lambda, EC2, and S3.

o Experience in developing full-stack software applications (JavaScript, Python, Java, etc.).

o Solid understanding of data structures, algorithms, and system design.

  • Experience & Background:

o Extensive experience in machine learning model development, including natural language processing (NLP).

o Experience with model evaluation, optimization, and performance monitoring.

o Proven experience in software engineering with strong coding skills.

o Experience working in a government or defense-related environment is highly preferred.

  • Additional Skills:

o Experience with model versioning and management using tools such as MLFlow or Git.

o Familiarity with containerization tools (i.e. Kubernetes).

o Strong problem-solving and analytical skills.

o Excellent communication and collaboration abilities.

Nice to Have:

  • Experience with secure data handling and compliance requirements
  • Experience working with Large Language Models (LLMs)

Consistent with federal and state law where SageCor conducts business, SageCor Solutions provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, or any other protected class.

SageCor Solutions

About SageCor Solutions

Sagecor is a complete engineering services company that employs top-level talent who possess the expertise to provide customers with true full-lifecycle System Engineering Services. Sagecor offers services beginning as early as the Research phase, where basic analysis is performed and prototypes as proof-of-concept are built.

During the crucial planning phase of a system, Sagecor’s team of Systems Engineers, SETA Services professionals, and Knowledge Management experts make sure each customer is prepared to define its program requirements, begin design activities, and manage the planning for development through lifecycle support & sustainment.

After the System Development begins, Sagecor has Hardware and Software engineers prepared to work alongside our customers in the Design and Build of the system. Our processes ensure robust technical expertise, access to time-tested procedures, and successful program execution. When the primary system components are completed, Sagecor’s team of Integration and Test engineers will integrate and test the customer’s system to guarantee the components function as part of the larger system. Upon completion of Acceptance Testing, Sagecor employs Systems Administrators to ensure that the system remains sustained and operational for the length of the mission. Sagecor’s “cradle-to-grave” experts provide our customers with the peace of mind that we can provide the expertise to meet any challenge.

Industry
IT & Software
Company Size
11-50 employees
Headquarters
Baltimore, Maryland
Year Founded
Unknown
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