About the Role:
We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying, maintaining, and monitoring the AI/ML systems that power our platform. You will work closely with data scientists, data engineers, and product teams to ensure scalable, reliable, and production-grade AI solutions. You’ll play a critical role in operationalizing large language models (LLMs) and other ML systems, ensuring they run efficiently, securely, and with robust monitoring in place.
Key Responsibilities:
- Design, implement, and maintain ML deployment pipelines for scalable production systems.
- Operationalize large language models (LLMs) and other AI/ML models, ensuring high availability and reliability.
- Build robust model monitoring, logging, and alerting systems to track performance and detect drift.
- Partner with data scientists to transition models from research/prototype into production-ready deployments.
- Develop CI/CD pipelines for ML workflows, integrating testing, validation, and automated deployment.
- Optimize runtime performance of ML models across cloud platforms (AWS, GCP, Azure) and distributed systems.
- Apply containerization and orchestration (Docker, Kubernetes) to enable reproducible, scalable systems.
- Collaborate with cross-functional teams to ensure ML systems align with platform goals and business requirements.
- 5+ years of experience as a Machine Learning Engineer, MLOps Engineer, or similar role.
- Proven experience deploying and maintaining machine learning models in production at scale.
- Hands-on experience with ML lifecycle tooling (MLflow, Kubeflow, SageMaker, Vertex AI, or similar).
- Strong proficiency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow.
- Deep knowledge of containerization (Docker) and orchestration (Kubernetes) for production ML systems.
- Expertise with cloud platforms (AWS, GCP, Azure) for ML deployment and scaling.
- Strong understanding of MLOps best practices, monitoring, and automation.
- Excellent problem-solving skills, with an emphasis on building reliable, scalable systems.
- Strong communication and collaboration skills across technical and non-technical teams.
Top Skills
What We Do
We help companies realize the full value of AI by empowering their teams to instantly make any application AI-intelligent.
We value and believe in equitable access to AI where all people can adopt AI and have access to AI technology and insights regardless of their ethnicity, socio-economic status, educational or career level, work role, age, physical ability, or any other quality. The goal of our AI Squared technology is to level this playing field by providing AI integration technologies that would increase AI adoption and enable access to AI for anyone.
This is our story. Dr. Benjamin Harvey was the Chief of Operations Data Science at NSA where he experienced challenges first-hand associated with the inability to adopt AI, provide equitable access to AI, and unlock the value of AI for intelligence analysts and the military warfighter. His inspiration came from his two brothers who were Army officers recently deployed to the Middle East (Kuwait, Iraq and Qatar) and SW Asia (Afghanistan and Pakistan) who both relied on intelligence to achieve mission. He began a journey and developed a solution to solve these inequities that simplifies and accelerates AI integration into applications ultimately protecting lives of Americans and military warfighters in similar situations as his brothers.
Our vision is to build the world’s most powerful model integration framework and AI integration software which enables any application to become AI-powered. For the first time ever data scientists can describe their models using our model integration framework and our AI integration software will overlay intelligence from inference results directly into a pre-existing web application. We provide application developers with a software (e.g. SDK) and analysts with a no/low-code solution to customize the user experience
