or apply directly on Jobgether's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 16 days Jobgether's roles stay open a median of 12 days
- Reposted
- No
- Salary listed
- No 0% of Jobgether's roles list one
- Ghost-job risk at Jobgether
- low 0 stale, 0 reposted of 4,675 open
- Hiring momentum
- 24620 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Jobgether's own lever board since 2026-08-04. Full hiring picture for Jobgether.
About this role
As an MLOps Engineer, you will design, implement, and maintain automated environments for data products and machine learning models, focusing on Azure-based platforms. Your role will involve working at the intersection of Data Engineering, Data Science, and Operations to ensure reliable model deployment from experimentation to production. You will utilize technologies such as Azure Databricks, Spark, Azure Machine Learning, MLflow, Docker, and Kubernetes to support enterprise analytics and AI solutions.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Jobgether as an employer.
What you need
- Experience with Azure-based data and AI platforms
- Proficiency in Azure Databricks
- Knowledge of Spark
- Experience with Azure Machine Learning
- Familiarity with MLflow
- Experience with Docker
Worth weighing
- Position is listed on behalf of a partner company, which may affect the application process
- No specific salary or benefits mentioned in the posting
Summarised from Jobgether's posting. Read the full original.
Listed by Jobgether on their lever job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.