Senior AI / Machine Learning Engineer, Onebrief

• You are an ambitious individual with hands-on experience in evaluating, fine-tuning, training, and productionizing modern algorithms and open-source machine learning models
• With a pragmatic approach and a strong background in applied Machine Learning and AI, you are ready to embrace the challenges and rewards of being a pioneering MLOps engineer in a rapidly growing startup
• You excel in building scalable systems and have a bias towards action
• Your technical proficiency is complemented by a design thinking approach to problem-solving, allowing you to iteratively develop solutions that meet user needs and drive innovation
• Educational Background: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or Ph.D. is a plus
• Professional Experience: 4+ years in engineering roles with significant MLOps contributions
• Strong programming skills in Python
• Hands-on experience with container orchestration tools like Docker and Kubernetes
• Proficient 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)
• 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

Desirable

• As our second Machine Learning Engineer focused on MLOps, you will play a critical role in establishing and refining our AI/ML deployment pipelines
• You will lead MLOps initiatives, enhancing operational efficiencies, 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 design and implement scalable systems for model deployment, monitoring, and maintenance
• Working 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