In this role, you will work at the intersection of data science, machine learning, and software engineering to transform complex technical information into structured, actionable insights. You'll design and deploy advanced AI/ML models, optimize workflows, and collaborate closely with cross-disciplinary teams to shape innovative solutions that support mission-critical projects. This is a hands-on position where your contributions will directly enhance digital engineering capabilities, improve automation, and strengthen decision-making across large-scale systems. The environment is collaborative, flexible, and forward-thinking—perfect for a professional who thrives on impact, continuous learning, and applied innovation.

Accountabilities

Develop and deploy machine learning models to automate the extraction of structured data from unstructured documentation
Curate and preprocess training datasets, ensuring consistency, quality, and scalability
Implement and fine-tune transformer-based NLP models (e.g., BERT, GPT) for system design and technical document analysis
Build, monitor, and optimize end-to-end ML pipelines, including ingestion, training, validation, and deployment
Collaborate with systems engineers, software engineers, and domain experts to align data science initiatives with engineering goals
Integrate models into operational tools and MBSE environments, supporting usability and user feedback loops
Analyze model performance and apply statistical validation methods to ensure reliability and accuracy
Stay current with AI/ML advancements and contribute to research and innovation initiatives
Ensure compliance with secure code practices, data handling standards, and version control processes

Requirements

Bachelor's or Master's degree in Data Science, Computer Science, AI/ML, Software Engineering, Computational Science, or related field
5+ years of relevant industry experience
Proficiency in Python and R, with strong experience in libraries such as Pandas, NumPy, and scikit-learn
Applied knowledge of deep learning frameworks (TensorFlow, PyTorch) and familiarity with Hugging Face Transformers
Hands-on experience with SQL/NoSQL databases, ETL pipelines, and data visualization tools (Matplotlib, Plotly, Tableau, Power BI, Streamlit)
Familiarity with software development lifecycle (Git, version control, model deployment, monitoring)
Experience with LLMs, prompt engineering, and semantic search (vector databases like Pinecone, Qdrant)
Knowledge of MLOps tools (MLflow, Kubeflow, SageMaker) and digital engineering pipelines
Active DoD Secret Clearance (or ability to obtain and maintain)
Strong problem-solving, analytical, and communication skills, with the ability to work collaboratively in a multidisciplinary team

Benefits

Competitive annual salary between $130,000 and $150,000, based on experience
100% company-paid insurance (medical, dental, vision) for eligible employees and their families
100% company-paid life insurance, short-term disability, and long-term disability coverage
401(k) plan with employer matching
Paid time off (PTO) and 10 paid holidays
Educational assistance for continued learning and certifications
Flexible schedule with some telework options (not fully remote due to security requirements)
Annual performance reviews, recognition programs, and excellence awards
A supportive, family-oriented culture that values teamwork, collaboration, and professional growth

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

📊 It compares your profile to the job's core requirements and past success factors to determine your match score.

🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.

🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias—focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!