![Antal](https://contents.bebee.com/companies/cz/antal/avatar-EaGC3.png)
ML Operations Expert
21 hours ago
About the Role
We are seeking a highly skilled ML Operations Expert to join our team at Antal. As an ML Ops expert, you will be responsible for establishing and maintaining best practices for machine learning operations, including version control, CI/CD pipelines, and model deployment.
Key Responsibilities
- Establish and maintain best practices for ML Ops, including version control, CI/CD pipelines, and model deployment.
- Implement MLOps tools to streamline model development, training, tuning, deployment, monitoring, and explainability.
- Deploy and manage ML models on GCP's Vertex AI platform, ensuring efficient and scalable execution.
- Identify and address performance bottlenecks in ML models and pipelines.
- Troubleshoot and resolve ML issues, ensuring optimal model performance and costs.
- Work closely with data scientists to prepare and preprocess data for model training and evaluation.
- Assist in feature engineering and selection to ensure model performance.
- Develop techniques to visualize and explain model behavior, ensuring model transparency and accountability.
Requirements
- Data engineering experience, including proficiency in GCP, Cloud, and BigQuery.
- Strong analytical skills, with proficiency in Python and Java.
- Experience with Terraform, Jenkins, Groovy, PySpark, Docker, Spark, and Apache Airflow.
- Strong problem-solving skills, with the ability to identify and address performance bottlenecks in ML models and pipelines.
What We Offer
- A competitive salary range of 180-200 net / hour (B2B).
- A hybrid work arrangement, with 6 days a month spent in the office in Kraków.
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