A rapidly growing AI-focused company in Boston is seeking a Mid-Level AI/ML Platform Engineer to support the deployment and scaling of machine learning models in production environments. This is a hybrid opportunity where you’ll work alongside cutting-edge teams building next-generation AI systems.
You will play a key role in bridging the gap between data science and infrastructure, ensuring models are production-ready, scalable, and efficient. This is an excellent opportunity for someone passionate about LLMs and modern ML infrastructure.
Key Responsibilities
- Build and maintain scalable ML pipelines and deployment workflows
- Deploy and monitor machine learning models using AWS and SageMaker
- Manage containerized environments using Kubernetes
- Optimize performance of distributed workloads using Ray
- Collaborate with data scientists to productionize LLM-based applications
Qualifications
- 2+ years of experience in MLOps, AI/ML engineering, or Cloud/Platform related roles
- Strong Python programming skills
- Hands-on experience with AWS (especially SageMaker
- Experience with Kubernetes and container orchestration
- Familiarity with LLMs and modern AI frameworks
Nice to Have
- Experience with CI/CD pipelines for ML workflows
- Exposure to model monitoring and observability tools.