Senior DevOps/MLOps Engineer (Part-Time)
| Type of work | * 100% remote * Part-time: 4h/1 working day, with a min. of 2h of daily overlap with IST work hours. |
| Contract type | * B2B * Short-time project for 2-3 mths, with the possibility of extension to 6 mths. |
| Language | English C1 – at least |
Key responsibilities:
- Design and implement scalable DevOps/MLOps solutions.
- Take ownership of existing Airflow pipelines, quickly grasp their functionality, and customize them to meet business needs.
- Collaborate with teams to design and set up data processing pipelines using Airflow in GCP.
- Leverage GCP tools, including Google Cloud Storage, Dataproc Serverless, and PySpark for data processing tasks.
- Contribute to the development and automation of MLOps workflows.
Requirements:
- 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
- Nice to have: Knowledge of Vertex AI Pipelines
Client:
| Our client is looking for a Senior DevOps/MLOps Engineer. In this position, you will be key 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. We are passionate about using AI to revolutionize how our customers optimize operations, predict and prevent issues, and create personalized experiences. |