Description:

Onebrief is a revolutionary platform designed for military staff workflows and operational planning, enabling smarter, real-time decisions.
The software features unparalleled collaboration tools, AI-enhanced capabilities, and customizable workflows to enhance staff performance.
As a Senior AI/ML Engineer focused on MLOps, you will establish and refine AI/ML deployment pipelines.
You will lead MLOps initiatives to enhance operational efficiencies and ensure scalability and reliability in delivering machine learning solutions to production.
Your role will directly impact the deployment and performance of AI models that optimize military operational planning.
You will design and implement scalable systems for model deployment, monitoring, and maintenance.
Collaboration with the first ML engineer and cross-functional teams will be essential to ensure robust and efficient AI solutions integrated into the platform.
Your expertise will contribute to building a reliable ML infrastructure that supports rapid growth and innovation.

Requirements:

A Bachelor's degree in Computer Science, Engineering, or a related field is required; a Master's or Ph.D. is a plus.
You must have 4+ years of experience in engineering roles with significant contributions to MLOps.
Strong programming skills in Python are essential.
Hands-on experience with container orchestration tools like Docker and Kubernetes is required.
Proficiency in designing and deploying agentic systems with modern model serving frameworks (e.g., LangChain, vLLM, FastAPI, or KServe) is necessary.
Experience with systems architecture, SQL/NoSQL databases, and Git version control is required.
Strong proficiency with CI/CD pipelines and distributed computing frameworks like Ray or Dask is essential.
Familiarity with model monitoring, logging, and versioning tools (e.g., MLflow, Weights & Biases) is necessary.
Proven expertise in deploying machine learning models in cloud environments (AWS, Azure, or GCP) is required.
Knowledge of advanced decision theory, experience with API building, simulation environments, and reinforcement learning pipelines are advantageous but not required.
Proficiency with inference runtimes/servers like ONNX, Triton, or similar technologies is a plus.
A design thinking approach to problem-solving and iterative development is essential.
Strong problem-solving abilities with a bias towards action are required.
Excellent communication and collaboration skills are necessary.
The ability to work autonomously in a fast-paced, dynamic environment is essential.

You will be part of a pioneering team in a rapidly growing startup environment.
The opportunity to work on impactful projects that optimize military operational planning.
A collaborative work culture with a focus on innovation and growth.
The chance to contribute to the development of cutting-edge AI/ML technologies.
Competitive salary and benefits package.
Opportunities for professional development and career advancement.