Remote ML Ops Engineer for Production GenAI Solutions

Slalom; New York (NY); Hybrid; USD 110,208 - 137,760; Full time

Job summary

Slalom is seeking an experienced AI/ML Engineer to design, deploy, and operate production-grade ML and Generative AI solutions in a regulated enterprise environment. This role focuses on transforming validated models into scalable, governed production systems, collaborating with data scientists, data engineers, and business stakeholders.

The ideal candidate will bring hands-on MLOps expertise, Azure Databricks proficiency, and experience with cloud-native ML platforms, joining cross-functional

Qualifications

• 5+ years hands-on experience in Machine Learning Engineering, MLOps or related software roles.
• Proven deployment and operation of ML solutions in enterprise environments.
• Strong Python development and experience with ML frameworks (Scikit-learn, PyTorch, TensorFlow).
• Experience building APIs/microservices (FastAPI/Flask) and MLflow for serving.

Responsibilities

• Design, build, and deploy production-grade ML and Generative AI solutions.
• Own end-to-end ML production lifecycle: data ingestion, features, deployment, monitoring.
• Develop and optimize MLOps pipelines using Azure Databricks, MLflow, Unity Catalog, CI/CD.
• Implement scalable model-serving architectures with real-time APIs and batch pipelines.
• Convert data science prototypes into production-ready software; manage data pipelines.
• Collaborate with data engineers to meet performance and quality requirements.
• Establish model versioning, monitoring, drift detection and automated retraining.
• Build endpoints, compute, monitoring and dashboards; ensure governance and security.

Skills

Python

MLOps

AI/ML Engineering

API development

Azure

Databricks

CI/CD

Docker

GitHub Actions

Spark

Education

Bachelor's or Master's degree in Computer Science, Software Engineering, Mathematics, Statistics, Data Science, or related quantitative discipline

Tools

Scikit-learn

PyTorch

TensorFlow

FastAPI

Flask

MLflow

Azure DevOps

GitHub Actions

Docker

Apache Spark

Delta Lake

Unity Catalog

Feature Store

MLflow Model Serving

Job description

Slalom is seeking an experienced AI/ML Engineer to design, deploy, and operate production-grade ML and Generative AI solutions in a regulated enterprise environment. This role focuses on transforming validated models into scalable, governed production systems, collaborating with data scientists, data engineers, and business stakeholders.

The ideal candidate will bring hands-on MLOps expertise, Azure Databricks proficiency, and experience with cloud-native ML platforms, joining cross-functional