Role overview:
- Collaborate closely with cross-functional teams, including Data Scientists, Data Engineers, and Cloud App Development Engineers, to ensure seamless integration of machine learning solutions into broader systems.
- Lead the activation of new machine learning models, overseeing the deployment process from development to production environments.
- Implement and adhere to MLOps best practices, ensuring the reliability, scalability, and maintainability of machine learning workflows.
- Manage and optimize Azure DevOps release pipelines, orchestrating the end-to-end deployment process for machine learning models.
- Utilize PySpark and associated libraries to develop and optimize data processing workflows, ensuring efficient handling of large-scale datasets.
- Proactively identify and address challenges related to model deployment, system integration, and data processing, working collaboratively to find effective solutions.
Essential skills:
- At least 1-2+ years of hands-on experience with MLOps, demonstrating proficiency in deploying and managing machine learning models in production environments.
- Hands-on experience using PySpark and associated libraries for scalable and distributed data processing in the context of machine learning workflows.
- Proven experience with Azure DevOps release pipelines, showcasing expertise in continuous integration, continuous deployment, and version control for machine learning projects.
- Proficiency in the Python programming language, with a focus on its application in machine learning development and deployment.
- Practical experience in machine learning, including a deep understanding of ML algorithms and feature engineering techniques.
- Programming knowledge in MS SQL, demonstrating the ability to work with and manipulate data within relational databases.
Salary:
13 500 – 19 750 PLN gross per month (employment)
110 – 160 PLN +VAT (B2B) per hour
Details on our website: spyro-soft.com/career/regular-senior-mlops-engineer
If this offer seems to be perfect for you – don’t wait, send us your CV 🙂