As an ML Applications Engineer, you will:

• Design, develop, and maintain scalable software solutions built using 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 Our 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.

Requirements:

• A degree in Computer Science or related field, or 4+ years of software engineering experience.
• Must be open to obtaining and maintaining a U.S. government 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.

Pluses:

• 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.
• US DOD Security Clearance (Secret or TS/SCI)
• Experience with Cyber Analytics, PCAP and network monitoring, CVEs and Cyber Vulnerabilities, etc.