Senior DevOps/MLOps Engineer
2 months ago
- 6+ years of hands-on experience in DevOps/MLOps.
- 1+ years of working experience with the following toolset:
- Google Cloud Platform (GCP)
- Google Cloud Storage Python APIs
- Dataproc Serverless
- PySpark
- Airflow for Data Processing Pipeline Development in GCP
- Strong ability to design, manage, and customize Airflow pipelines.
- Proven ability to work independently and take ownership of tasks.
- Knowledge of Vertex AI Pipelines is a plus.
Location: Remote(Poland)
Contract Length: 6-8 weeks
Work Schedule: Part-time with a minimum of 2 hours of overlap with IST working hours daily
Position Overview:
We are passionate about using AI to revolutionize how our customers optimize operations, predict and prevent issues, and create personalized experiences. As a Senior DevOps/MLOps Engineer, you will play a key role in designing and implementing scalable solutions while managing and customizing Airflow pipelines on the Google Cloud Platform (GCP). You'll collaborate with our innovative teams to leverage AI, including Generative AI and machine learning algorithms, to drive better outcomes for our customers.
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