Machine Learning Engineer
AI SquaredWashington, District of Columbia, United States
Posted September 23, 2025
Full Time
About the Company
AI Squared specializes in bringing AI to enterprise environments through its SaaS and on-premises platform. By integrating advanced ML/AL functionalities with data sources, it provides intelligent insights into business applications, enabling seamless collaboration between data science teams and business users. Trusted by leading financial institutions, supply chain logistics companies, and the US Department of Defense, AI Squared drives faster, more informed decision-making.
Job Description
We are seeking a highly skilled Machine Learning Engineer to join our core AI team. The role involves deploying, maintaining, and monitoring AI/ML systems, focusing on scaling production-grade solutions. This includes operationalizing large language models and ensuring their efficiency, security, and robust monitoring.
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.
