Published: Wed, 04 Dec 2024 14:51:06 GMT
Position: Senior AI/ML Engineer, Machine Learning Operations
Company Overview:
Onebrief is a cutting-edge platform designed for military staff workflows and operational planning. Our software offers unparalleled collaboration features, AI-enhanced tools, and customizable workflows, making our platform a game-changer for military staffs. Our growing list of clients includes COCOMs and Service Components around the world.
Founded in 2017 by experienced planners, our team of 120+ is made up of veterans from various forces and global organizations, as well as technologists from leading software companies. We have experienced significant growth, having raised $53M+ in funding from top venture investors.
Key Responsibilities:
As our second Machine Learning Engineer focused on MLOps, you will have a crucial role in establishing and refining our AI/ML deployment pipelines. You will lead MLOps initiatives, improving operational efficiency, and ensuring scalability and reliability in delivering machine learning solutions to production. Your contributions will directly impact the deployment and performance of AI models that optimize military operational planning.
You will be responsible for designing and implementing scalable systems for model deployment, monitoring, and maintenance. Collaborating closely with our first ML engineer and cross-functional teams, you will ensure that our AI solutions are robust, efficient, and seamlessly integrated into our platform. Your expertise will help us build a reliable ML infrastructure that supports rapid growth and innovation.
Requirements:
Qualifications:
– Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s or Ph.D. is a plus.
– 4+ years of experience in engineering roles with significant MLOps contributions.
Technical Skills:
– Strong programming skills in Python.
– Hands-on experience with container orchestration tools like Docker and Kubernetes.
– Proficiency in designing and deploying agentic systems with modern model serving frameworks (e.g., LangChain, vLLM, FastAPI, or KServe).
– Experience with systems architecture, SQL/NoSQL databases, and Git version control.
– Strong proficiency with CI/CD pipelines and distributed computing frameworks like Ray or Dask.
– Familiarity with model monitoring, logging, and versioning tools (e.g., MLflow, Weights & Biases).
– Proven expertise in deploying machine learning models in cloud environments (AWS, Azure, or GCP).
Additional Skills (advantageous but not required):
– Knowledge of advanced decision theory.
– Experience with API building, simulation environments, and reinforcement learning pipelines.
– Proficiency with inference runtimes/servers like ONNX, Triton, or similar technologies.
Soft Skills:
– Design thinking approach to problem-solving and iterative development.
– Strong problem-solving abilities with a bias towards action.
– Excellent communication and collaboration skills.
– Ability to work autonomously in a fast-paced, dynamic environment.
If you are an ambitious individual with hands-on experience in evaluating, fine-tuning, training, and productionizing modern algorithms and open-source machine learning models, we want you to join our team as a Senior AI/ML Engineer. With a pragmatic approach and a strong background in applied Machine Learning and AI, you will play a key role in our company’s growth and success. Apply now and be a part of our innovative and dynamic team. Apply link
