AI/ML Engineer I

Reflexive Concepts is seeking a skilled Artificial Intelligence/Machine Learning I to join our team!

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.

Qualifications:

- 2 years of experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required.

- 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 bachelors degree.

Key Responsibilities:

- 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

- 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:

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

Required Skills:

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

- Expertise in model training, evaluation, and deployment.

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

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

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

- Experience & Background:

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

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

- Proven experience in software engineering with strong coding skills.

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

- Additional Skills:

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

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

- Strong problem-solving and analytical skills.

- Excellent communication and collaboration abilities.

Nice to Have:

- Experience with secure data handling and compliance requirements

- Experience working with Large Language Models (LLMs)