Middle/Senior MLOps Engineer

The CHI Software team is not standing still. We love our job and give it one hundred percent of us! Every new project is a challenge that we face successfully. The only thing that can stop us is… Wait, it’s nothing! The number of projects is growing, and with them, our team too. And now we need a Middle/Senior MLOps Engineer.

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

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

Your dream job awaits you
Apply now!

    Successfully applied!