Senior Data DevOps / MLOps Engineer

Wymagania

• 3+ years of experience in a Data DevOps or MLOps role

• Proficiency in automated pipeline development with Jenkins or Databricks

• Competency in cloud resource management and deployment on AWS

• Expertise in MLOps and modern AI/ML strategies

• Familiarity with ML architecture and aligning infrastructure with corporate policies

• Fluent English communication skills at a B2+ level

Zakres obowiązków

• Develop automated pipelines using Jenkins and Databricks for continuous integration checks, Python package releases, and ML model training and evaluation

• Manage cloud resources (AWS) for internal demos and proof of concepts

• Align infrastructure and development practices with company standards

• Collaborate effectively with cross-functional teams to enhance MLOps processes

• Contribute to the planning and optimization of AI and ML strategies

Seniority

• Senior

Mile widziane

• Knowledge of Amazon Web Services resources for scalability and performance

• Understanding of advanced ML architecture principles

Opis

We are seeking a self-driven and motivated Senior Data DevOps/MLOps Engineer to join our team in Poland, preferably based in Poznan or Wroclaw. The ideal candidate is a Polish speaker who can occasionally collaborate on-site with our Poznan team and contribute to enhancing our infrastructure and workflows. Responsibilities Develop automated pipelines using Jenkins and Databricks for continuous integration checks, Python package releases, and ML model training and evaluation Manage cloud resources (AWS) for internal demos and proof of concepts Align infrastructure and development practices with company standards Collaborate effectively with cross-functional teams to enhance MLOps processes Contribute to the planning and optimization of AI and ML strategies Requirements 3+ years of experience in a Data DevOps or MLOps role Proficiency in automated pipeline development with Jenkins or Databricks Competency in cloud resource management and deployment on AWS Expertise in MLOps and modern AI/ML strategies Familiarity with ML architecture and aligning infrastructure with corporate policies Fluent English communication skills at a B2+ level Nice to have Knowledge of Amazon Web Services resources for scalability and performance Understanding of advanced ML architecture principles

Słowa kluczowe / Umiejętności