Senior Machine Learning Operations Engineer
Smartsheetabout 3 hours ago
Responsibilities
- Automate the deployment and retraining of ML models using CI/CD/CT pipelines.
- Build and fine-tune machine learning models, including LLMs and deep learning models.
- Evaluate and recommend AI or ML solutions for product development.
- Implement model versioning, lineage tracking, and auditing for compliance.
- Continuously monitor the health and performance of production ML models.
- Incorporate user feedback for iterative improvements and manage retraining cycles.
- Act as a liaison between Data Scientists and Software Engineers.
- Partner with software engineers and product managers to integrate ML solutions.
- Provision and manage scalable cloud infrastructure using Infrastructure as Code.
- Provide architectural guidance and mentorship to ML engineers and data scientists.
- Create technical documentation for complex ML concepts.
Requirements
- 5+ years of experience in creating, deploying, and scaling ML solutions in a cloud environment.
- 7+ years of programming experience in AI/ML languages such as Python or Scala.
- 4+ years of experience in developing deep learning and traditional ML models.
- Strong applied data science skills to recognize data patterns and evaluate ML algorithms.
- Proven ability to stay updated with advancements in Generative AI.
- Experience in developing, documenting, and supporting REST APIs.
- A degree in Computer Science, Engineering, or a related field or equivalent experience.