Senior Machine Learning Operations Engineer
Core
Architect and maintain the machine learning production lifecycle, deploying models to scalable, reliable, and secure environments for Smartsheet's AI products.
Role type
Senior Machine Learning Operations Engineer
Builds
Scalable ML production pipelines, automated retraining systems, and monitoring infrastructure for AI agents.
Domain
Enterprise SaaS / MLOps / Generative AI
Deliverable
production ML models
Required skills
MLOps best practices, CI/CD/CT pipeline design, cloud infrastructure provisioning (AWS/GCP/Azure), deep learning model development, model versioning and lineage tracking, performance monitoring and drift detection, REST API development, technical documentation
Preferred skills
Experience with LLMs and pre-trained models, Generative AI frameworks (LangChain, Stable Diffusion), mentoring ML engineers and data scientists
Technologies
SageMaker, Glue, Lambda, Docker, PyTorch, TensorFlow, HuggingFace, scikit-learn, OpenAI, LangChain, Stable Diffusion APIs
Responsibilities
Automate deployment and retraining of ML models from training to production inference; Build, fine-tune, or use pre-trained LLMs and deep learning models; Implement model versioning, lineage tracking, and auditing; Continuously monitor model health and proactively correct drift or degradation; Act as the bridge between Data Scientists and Software Engineers; Provision and manage scalable cloud infrastructure using Infrastructure as Code (IaC)
Seniority
Senior, hands-on IC with mentorship responsibilities
