AI Engineer Consultant
Core
Design and implement MLOPS tools and operating models to deploy and maintain machine learning models in production reliably and efficiently, acting as a bridge between data scientists and IT/data engineers.
Role type
Senior MLOPS Engineer
Builds
Production machine learning models and analytics pipelines
Domain
Healthcare technology / Cloud infrastructure
Deliverable
production ML models
Required skills
Python, MLOPS, machine learning, statistics, software engineering, CI/CD, Docker, Kubernetes
Preferred skills
Azure stack (AMLS, Synapse, Data Factory), Databricks, pySpark, SQL, web frameworks (Flask, Django, FastAPI), RDBMS, NoSQL
Technologies
Azure, Databricks, MLFLOW, Docker, Kubernetes, SQL Server, MongoDB, Redis, Flask, Django, FastAPI
Responsibilities
Implement ETL pipelines in Azure cloud; Monitor and support existing BAU pipelines; Design and implement MLOPS tools; Test and optimize ML models before production; Assist in monitoring and retraining models
Seniority
Senior, hands-on IC
