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Virtualitics · 4 hours ago

Cleared Machine Learning Engineer

DC-Baltimore Area

Full-time

Hybrid

Mid Level

$150K/yr - $220K/yr

4+ years exp

Virtualitics is trailblazing Intelligent Exploration and Enterprise AI with their cutting-edge AI Platform. They are hiring an ML Applications Engineer who will bridge machine learning, data engineering, and software development to enhance their AI data applications.

Artificial Intelligence (AI)GovernmentMachine LearningMilitaryNatural Language Processing

No H1B

Security Clearance Required

U.S. Citizen Only

Hiring Manager

Simon Dodd

Responsibilities

Design, develop, and maintain scalable software solutions built using the Virtualitics SDK to process and analyze large datasets

Architect and implement data pipelines and workflows to ensure efficient data collection, processing, and storage

Optimize data access patterns, enhancing the efficiency and performance of our AI solutions

Assess and address runtime performance issues, ensuring high responsiveness and stability of applications

Write clean, efficient, and maintainable code following best practices in software development

Collaborate closely with Technical Product Managers to implement usability enhancements in our applications, ensuring our products meet and exceed user expectations

Architect robust, scalable, and user-friendly applications, considering current trends and future growth

Craft and manage dynamic dashboards using the Virtualitics AI Platform Python SDK, transforming data into intuitive visuals for decision-making

Stay updated with the latest advancements in software engineering and data science fields and apply them to improve existing solutions

Qualification

PythonMachine Learning EngineeringData EngineeringDockerKubernetesGitProblem-solvingCommunication skills

Required

A degree in Computer Science or related field, or 4+ years of software engineering experience

Must hold a current, active DoD Secret, Top Secret or TS/SCI security clearance

Proficiency in Python with a solid understanding of Python Data Stack (pandas, NumPy, scikit-learn, PyTorch, Matplotlib, etc.)

Proven track record of deploying software into production environments

Familiarity with Docker, Kubernetes, and Git

Exceptional problem-solving skills and a keen sense of ownership

Excellent communication skills in English, both written and verbal

Preferred

Experience in Machine Learning Engineering roles and the end-to-end lifecycle of AI applications, from model development to deployment

1+ years of experience with technologies like task schedulers (e.g. Celery, Airflow, Prefect, etc.) and web-app development stacks (e.g. Flask/Django) or app building kits like Streamlit/Plotly Dash

Experience with Predictive Maintenance, USAF Data Sources, Supply Chain, Scheduling Optimization, etc

Experience with Cyber Analytics, PCAP and network monitoring, CVEs and Cyber Vulnerabilities, etc