Job Description

Full-time

Description

Job Title : Data Scientist

Primary Place of Performance: Springfield, VA 22151
Travel: Up to 20% CONUS & OCONUS travel
Mandatory Requirements : U.S. Citizenship and TS/SCI Clearance
Years of Experience : 5–10 years 

Description  

JFL Consulting, LLC is seeking a skilled Data Scientist to develop and optimize data processing and handling, machine learning models, build scalable infrastructure for AI/ML workflows, and automate processes for efficient model deployment. This role combines hands-on development of AI/ML models with cloud orchestration and data management, utilizing technologies such as TensorFlow, PyTorch, Kubernetes, and NVIDIA GPU acceleration. Join our team to help drive cutting-edge solutions in cybersecurity and AI/ML applications. 

Responsibilities  

AI/ML Model Development & Optimization  

• Design and develop high-performance machine learning models using frameworks such as PyTorch, TensorFlow, JAX, and ONNX. 
• Apply advanced AI/ML techniques (supervised, unsupervised, and semi-supervised learning) to solve complex business and cybersecurity problems. 
• Enhance model performance using GPU acceleration with NVIDIA libraries like CUDA and TensorRT. 

AI/ML Infrastructure Engineering  

• Architect and implement scalable AI/ML workflows using Kubernetes, Kubeflow, and MLFlow for deployment and orchestration. 
• Automate the deployment and scaling of AI/ML models using Python, SQL, and shell scripting. 
• Manage and optimize containerized environments (Docker) for continuous integration and delivery. 

Data Engineering & Analytics  

• Develop efficient pre- and post-processing pipelines to prepare and optimize data for machine learning applications. 
• Create and manage data storage strategies, ensuring efficient retrieval and load-sharing across large-scale AI/ML deployments. 
• Utilize the ELK stack (Elasticsearch, Logstash, Kibana) for data visualization and model performance monitoring. 

Security & Compliance  

• Collaborate with cybersecurity teams to apply knowledge of network traffic and attack vectors, ensuring secure deployment of AI/ML systems. 
• Support Risk Management Framework (RMF) compliance and other cybersecurity frameworks in AI/ML operations. 

Documentation & Technical Communication  

• Develop detailed documentation for machine learning models, workflows, and infrastructure configurations. 
• Communicate AI/ML project status, risks, and technical details to both technical and non-technical stakeholders. 

Requirements

Experience  

• 5+ years of experience in AI/ML engineering, with hands-on experience developing and deploying models. 
• Experience fine-tuning and deploying large language models (LLMs) such as Llama or Mixtral in production and air-gapped environments, with focus on optimization, integration, and secure operations. 
• Proficiency with AI/ML frameworks (PyTorch, TensorFlow, JAX, ONNX) for model development and optimization. 
• Expertise with container orchestration platforms like Kubernetes, Kubeflow, and MLFlow. 
• Experience leveraging NVIDIA GPU acceleration libraries (CUDA, TensorRT). 

Technical Skills  

• Strong proficiency in Python, SQL, C/C++, and shell scripting for AI/ML system automation. 
• In-depth knowledge of machine learning algorithms, statistical analysis, and data processing techniques. 
• Expertise in data storage management and transformation strategies for AI/ML workflows. 
• Familiarity with network traffic patterns and attack vectors for secure system deployment. 

Communication  

• Excellent written and verbal communication skills. 
• Ability to translate complex AI/ML concepts into actionable insights for stakeholders. 

Preferred Education, Experience, & Skills  

• Bachelor's or master's degree in data science, Computer Science, or a related field. 
• Minimum DoD 8140 IAT Level II certification or equivalent highly desired. 
• Advanced certifications in AI/ML (e.g., AWS Certified Machine Learning - Specialty, TensorFlow Certification). 
• Experience with cloud platforms for machine learning (AWS, Azure, GCP). 

Competitive Benefits Package Includes  

• 100% employer-paid medical, dental, and vision for employees and dependents. 
• 401(k) with 3% company contribution and immediate vesting. 
• Generous PTO policy (15 vacation, 5 sick, 2 personal days). 
• Reimbursement for job-related certifications, annual training budget, and company-provided access to training platforms. 

JFL Consulting, LLC is an Equal Opportunity Employer.
We do not discriminate against any applicant for employment on any legally recognized basis including, but not limited to: race, religion or creed, color, national origin, sex, age, disability, marital status, sexual orientation, genetic information, veteran status, or any other protected class under federal, state, or local statute. It is also the policy of JFL Consulting, LLC to provide reasonable accommodations for qualified individuals with disabilities. 

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