Machine Learning DevOps Engineer

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About Us

At SoarTech, our focus is on the development of artificial intelligence (AI) that reasons like humans do to automate complex tasks, simplify human-machine interactions, or model human behaviors. Our philosophy is three-fold: to be an augmentation to, not a replacement of, the human; to think “top-down, not bottom-up;” and to be transparent so that decisions and processing are communicated to the human in human-like terms.

SoarTech is growing and we are looking for individuals interested in helping research, develop, and implement this exciting technology into everyday operations.

We are looking for Machine Learning (ML) DevOps engineers who will support our research, development, and deployment of AI technologies that solve sophisticated problems. You will be part of a team working to deploy state-of-the-art AI solutions for our customers. Efforts include designing data pipelines and engineering infrastructure to support our platform machine learning systems at scale. This position embraces and represents the SoarTech Core Values (Innovative, Honest, Customer Focused, Respectful, Integrity and People) in all aspects of their duties and responsibilities.

Duties and Responsibilities

• Supports the design of the data pipelines and engineering infrastructure to support our platform machine learning systems at scale.
• Works with engineers and scientists on modeling to turn data into real machine learning production systems.
• Develops and deploys scalable tools and services for internal and external collaborators to handle machine learning training and inference.
• Identifies and evaluates new technologies to improve system performance, maintainability, and reliability.
• Applies software engineering rigor and best practices to machine learning (including CI/CD, automation, etc.)
• Support ML model development, with an emphasis on auditability, model debugging, versioning, and data security.
• Facilitates the development and deployment of proof-of-concept ML systems.
• Communicates with customers and teaming partners to build requirements and track progress.
• Participate in integrated test sessions with industry partners, academia, and customers/sponsors.
• Collaborate with other engineers, project leads, and program manager to accomplish project goals.
• Build and maintain efficient, reusable, and reliable code.
• Produces documentation on software design, system design, and testing.
• Perform other duties as assigned.

Required Skills and Experience

• At least three (3) years of software programming experience in a similar scope, program, and/or environment.
• Bachelor's degree in engineering, computer science, mathematics, physics, or a related discipline.
• A passion for working with Artificial Intelligence.
• Experience and high proficiency at designing and implementing software components in C++, Java, and Python.
• Working practitioner's knowledge of machine learning techniques such as deep learning, neural networks, computer vision, natural language processing (NLP), and large language models (LLMs).
• Ability to analyze and solve challenging technical problems.
• Experience designing and debugging complex machine learning systems.
• Experience using task tracking and project management software, such as GitLab or Jira.
• Excellent written and verbal communication skills.
• Ability to travel up to 20% to support technical presentations, testing, and integration.
• Ability to obtain and maintain a Department of Defense (DOD) Security Clearance.

Preferred Skills (Not Required)

• An advanced degree in engineering, computer science, mathematics, physics, or a related discipline.
• Knowledge or experience in any of the following technology areas:
• Deploying ML models with Kubernetes.
• Common machine learning frameworks such as PyTorch, TensorFlow, or Jax.
• LLM frameworks such as HuggingFace.
• Transformer-based autoregressive NLP techniques (BERT, BART, XLNet, BERT Topic, etc.)
• Solving reasoning problems with LLMs (chain of thought reasoning, integration of external planners, etc.)
• Multi-modal LLMs (vision, audio, and other non-textual input.)
• Multi-agent, swarming and complex adaptive systems.
• Sensor and data fusion.
• Simulation and game development.
• Experience supporting development projects for defense or aerospace technology platforms.
• An active Department of Defense (DoD) Security Clearance.

Physical Requirements

• Prolonged periods sitting at a desk and working on a computer.
• Must be able to lift up to 15 pounds at times.