Artificial Intelligence Machine Learning Skill Level 1 Security Clearance

Position: Artificial Intelligence Machine Learning Skill Level 1 with Security Clearance
SALARY REQUIREMENTS Candidates are invited to submit their salary expectations along with their application. The compensation for this role will be competitive and is aligned with industry standards, taking into consideration factors such as experience, education, and geographic location. The base salary range for this position is $150,000 to $200,000 (USD), exclusive of any discretionary bonuses and benefits.

JOB DESCRIPTION Mission Edge Technologies seeks a skilled Artificial Intelligence/Machine Learning (AI/ML) responsible for building, training, fine-tuning, and evaluating advanced language models. The ideal candidate will have hands-on experience with state-of-the-art machine learning techniques, specifically for natural language processing (NLP), and will also have a strong understanding of full-stack development. This person will work across the model development lifecycle and collaborate with cross-functional teams to deliver high-impact solutions.

Essential Job Functions:

* Model Development & Training:
Build, train, and fine-tune machine learning models, particularly language models. Apply best practices in model training, tuning, and optimization. Design and implement solutions for model performance improvement.

* Evaluation & Testing:
Conduct rigorous model evaluation, including performance analysis and benchmarking. Perform error analysis, debugging, and model diagnostics to ensure quality and reliability.

* Model Deployment & Integration:
Build, train, and fine-tune machine learning models, particularly language models. Apply best practices in model training, tuning, and optimization. Design and implement solutions for model performance improvement.

* Evaluation & Testing:
Conduct rigorous model evaluation, including performance analysis and benchmarking. Perform error analysis, debugging, and model diagnostics to ensure quality and reliability. Work with cloud-based AI platforms (especially AWS Sagemaker) to deploy and scale models. Integrate machine learning models into production environments, ensuring seamless integration with other systems.

* Full-Stack Engineering:
Contribute to the development and maintenance of the full stack for AI model-based applications (front-end and back-end). Collaborate with software engineers to build scalable and efficient deployment pipelines.

* Collaboration & Reporting:
Work closely with data scientists, product teams, and engineers to translate business requirements into technical solutions. Document workflows, model design processes, and technical specifications.

Minimum Required Qualifications:

* Due to the nature of this position and the information that employees will be required to access; U.S. Citizenship is required.

* Active TS/SCI w/ polygraph

* 2 years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required. A B.S. degree in advanced math (e.g., calculus, linear algebra or Bayesian statistics), computer science or related STEM discipline from an accredited college or university is required.

* 3 years of additional machine learning experience on projects with similar machine learning processes may be substituted for a bachelor's degree.

* Knowledge and experience of Language models is required

* 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

* Strong proficiency in AI/ML frameworks such as Tensor Flow, PyTorch, or Hugging Face.

* Expertise in model training, evaluation, and deployment.

* Hands-on experience with AWS tools like Sage Maker, Lambda, EC2, and S3.

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

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

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

* Experience with model evaluation, optimization, and performance…