Machine Learning Engineer
aisquared· Engineering
About this role
Machine Learning Engineer
Washington, DC (Hybrid)
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.
Qualifications:
- 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.
Frequently Asked Questions
Is the salary disclosed for the Machine Learning Engineer position at aisquared?
The salary for this Machine Learning Engineer role at aisquared is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Machine Learning Engineer position at aisquared located?
This Machine Learning Engineer role at aisquared is based in Washington, DC. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Which team or department does the Machine Learning Engineer at aisquared belong to?
This Machine Learning Engineer position is part of the Engineering department at aisquared. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Machine Learning Engineer position at aisquared?
Click the "Apply Now" button on this page. You will be redirected to aisquared's official application portal hosted on greenhouse where you can submit your application directly.
When was the Machine Learning Engineer job at aisquared posted?
This Machine Learning Engineer position at aisquared was posted on Sep 23, 2025. Apply as soon as possible — early applications are often reviewed first.
Machine Learning Engineer
aisquared
You'll be redirected to aisquared's official application page on Greenhouse.