Machine Learning Operations Engineer
a day ago
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OnsiteFull-timeMid
Summary
Lila Sciences is seeking a mid-level Machine Learning Operations Engineer to join their team in Cambridge, MA. The role focuses on unifying data management by building and maintaining high-performance data pipelines for machine learning use-cases.
About the Role
As a Machine Learning Operations Engineer, you will design and implement data processing infrastructure for large language model training, collaborate with researchers to create novel data processing pipelines, and develop a secure and robust developer experience. You will also contribute to MLOps best practices and write technical documentation.
About You
Required:
- 3+ years of experience in software engineering, with a focus in data engineering or DevOps.
- Demonstrated experience deploying and maintaining machine learning models in production.
- Proficiency with Kubernetes, Docker, and Cloud (AWS Preferred).
- Proficiency with CI/CD tools and Frameworks (GitHub Actions preferred).
- Strong skills with scripting languages (e.g. Python, Bash), VCS (git), and Linux.
- Proven experience in cross-functional teams and able to communicate effectively about technical and operational challenges.
Preferred:
- Proficiency with scalable data frameworks (Spark, Kafka, Flink).
- Proven expertise with Infrastructure as Code and Cloud best practices.
- Proficiency with monitoring and logging tools (e.g., Prometheus, Grafana).
- Experience managing on-premises Kubernetes environments (e.g. Rancher).
Lila Sciences
Lila is a technology company pioneering the application of artificial intelligence to transform every aspect of the scientific method.
Cambridge, MA