Machine Learning Ops Engineer

Posted: 2026-10-29

- Own production pipeline for all DS jobs

- Work closely with data science on new pipelines

- Create monitoring solutions around all aspects of pipeline

- Scale solutions around data volumes, budget, SLAs, infrastructure

- CI/CD pipeline ownership

- Help Architect necessary data handoffs to other squads

- Develop and mentor best practices within Impact

- Interface with external systems to extract data

- Operate independently, research new technologies, champion solutions

- Collaborate cross squad to develop various data handoffs

What You Have

- Masters in Computer Science, Data Science preferred

- 3+ years experience in developing and deploying machine learning models in a production environment.

- 1+ year of experience in MLOps and Data engineering

- Experience in Databricks preferred

- Experience in all DS libraries

- Google Cloud environment certifications a plus

- Collaboration with squads, leadership role,

- Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.)

- Familiarity with DevOps practices and tools such as Kubernetes, Docker, Jenkins, Git

- Strong DevOps mentality: Knowledge of making a complicated pipeline simple and easy to maintain, with proven experience of Terraform/Spark

- Continuous Learner

- Cloud / GCP experience

- Big Data experience

- Highly organized, proven ability to work on multiple projects at once

- Problem Solving