ML Ops Engineer
ML Ops Engineer
Posted on :
19-04-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
ITSelecta Talent Solutions based in Krakow Poland is a specialist recruitment agency with a multicultural team fluent in various languages. Serving Poland and Central Europe the agency focuses on recruiting top Polish developers and other talents. Their expert recruiters and business developers are committed to addressing IT challenges offering tailored recruitment services to build outstanding development teams for specific client needs.
For our client we are currently looking for a Machine Learning Ops Engineer to join a crossfunctional AI Delivery team. This position is ideal for someone with strong handson experience in deploying and maintaining AI/ML models and services in production environments who is passionate about operationalizing AI at scale.
Responsibilities:
Requirements:
If youre ready to take on this challenge and make a significant impact we would love to hear from you.Apply nowand take a chance to build something amazing.
For our client we are currently looking for a Machine Learning Ops Engineer to join a crossfunctional AI Delivery team. This position is ideal for someone with strong handson experience in deploying and maintaining AI/ML models and services in production environments who is passionate about operationalizing AI at scale.
Responsibilities:
- Deploy and maintain AI/ML applications in production including model serving monitoring and troubleshooting.
- Ensure reproducibility traceability and interpretability of ML models.
- Independently package and deploy AI/ML services using best practices.
- Monitor production models detect data/model drift and support retraining workflows.
- Collaborate with data scientists and data engineers on scalable robust and testable ML pipelines.
- Translate Jupyterbased prototypes into productionready services.
- Apply best coding practices including version control testing code reviews and automation.
- Leverage MLOps tools for model lifecycle management and CI/CD in ML systems.
Requirements:
- 5 years of experience with Python and ML libraries (e.g. scikitlearn xgboost).
- Strong experience with deploying and operating ML models in production.
- Proficiency with Git testing frameworks and Python packaging.
- Familiarity with CI/CD containerization and cloud platforms (preferably Azure).
- Good knowledge of ML algorithms and NLP use cases.
- Experience with MLOps tools (e.g. MLFlow Airflow Kedro ZenML).
- Solid understanding of software engineering principles and data validation.
- Experience with Unix/Linux environments and scripting (bash/shell).
- Foundational data engineering skills (SQL ETL); Spark/Kafka/Cloudera is a plus.
- Strong communication skills and ability to work in Agile teams.
- University degree in a relevant field (e.g. Software Engineering Data Science).
If youre ready to take on this challenge and make a significant impact we would love to hear from you.Apply nowand take a chance to build something amazing.
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
