We are seeking a skilled Machine Learning Engineer with a strong MLOps and Azure ML background. The ideal candidate will be responsible for developing, deploying, and maintaining machine learning models, ensuring seamless integration and scalability. You will work closely with data scientists, software engineers, and stakeholders to implement end-to-end ML pipelines and operationalize ML solutions.

Key Responsibilities:

• Design, develop, and deploy machine learning models using Azure ML.
• Implement and manage MLOps practices to automate ML workflows, including continuous integration and continuous deployment (CI/CD).
• Collaborate with data scientists to understand model requirements and translate them into scalable solutions.
• Optimize model performance and scalability in a production environment.
• Monitor and maintain the health of ML models, ensuring robustness and accuracy over time
• Develop and maintain documentation for ML processes and systems.
• Develop and maintain scripts for data processing and deployment.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• Proven experience as a Machine Learning Engineer, Data Scientist, or similar role.
• Strong expertise in MLOps and experience with Azure ML.
• Proficiency in programming languages such as Python or R.
• Experience with CI/CD tools and frameworks.
• Solid understanding of machine learning algorithms and statistical methods.
• Ability to work collaboratively in a team environment and communicate effectively with stakeholders.

Preferred Qualifications:

• Experience with cloud computing platforms, specifically Azure.
• Familiarity with containerization technologies such as Docker and Kubernetes.
• Knowledge of data engineering and data pipeline development.
• Experience with version control systems like Git.
• Strong problem-solving skills and the ability to think critically and analytically.

Our perks

• Covered vacation period: 20 business days and 5 days off
• Free English classes
• Flexible working schedule
• Truly friendly and supporting atmosphere
• Working remotely or in one of our offices
• Medical insurance for employees from Ukraine
• Compensation of psychological counseling
• Legal support
• Relocation assistance