About the 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.
Skills & Tags
Aplyr's read
AI Squared focuses on AI-driven solutions to streamline business operations, attracting talent in engineering and sales across various sectors.
What's promising
- •AI Squared offers cutting-edge AI solutions that enhance business decision-making.
- •The company is expanding its engineering team, indicating growth and innovation.
- •Recent hires in sales suggest a strong focus on market expansion.
What to watch
- •Limited public information about the company's financial health.
- •Potential challenges in maintaining competitive advantage in a rapidly evolving AI market.
- •Dependence on AI technology may limit adaptability to non-AI business needs.
Why AI Sqaured
- •AI Squared specializes in AI solutions specifically for business process enhancement.
- •The company targets diverse sectors with tailored AI applications.
- •Recent roles indicate a strategic focus on both technical and sales capabilities.
Aplyr’s read is generated by AI from public sources. Was it useful?
About AI Sqaured
AI Squared is a technology company specializing in artificial intelligence solutions aimed at enhancing business processes and decision-making.
