Senior MLOps Engineer
New
Python
Senior MLOps Engineer
Type of work
Full-time
Experience
Senior
Employment Type
B2B, Permanent
Operating mode
Remote
Transition Technologies MS
We are a rapidly growing IT company with global reach. We deal with IT outsourcing and implementation projects in flexible cooperation models, providing access to competence and experts in technologies from mainstream to cloud. TTMS' greatest strength is its skilled professionals, so people are at the heart of our organisational culture.
Tech stack
Python
Bash
Kubernetes
kubeflow
AWS
Docker
Job description
Online interview
Your responsibilities:
- Research and implement MLOps tools, platforms, and frameworks for Data Science projects.
- Enhance MLOps maturity by working through a backlog of tasks.
- Automate and modernize Data Science processes with agile methodologies.
- Provide internal training and presentations on MLOps tools and best practices.
We are looking for you, if you have:
- Experience with Kubernetes and MLOps platforms (e.g., Kubeflow, AWS SageMaker).
- Proficiency in Python, Bash, and Unix; experience with CI/CD pipelines.
- Knowledge of cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
- Experience with ML models and understanding of ML concepts.
- Familiarity with DevOps and Agile practices, plus infrastructure automation tools (e.g., Ansible, Terraform).
We offer:
- Participation in interesting and demanding projects
- Flexible working hours
- A great, non-corporate atmosphere
- Stable employment conditions (contract of employment or B2B contract)
- Opportunity to develop your career
We reserve the right to contact the selected candidates.
Undisclosed Salary
B2B, Permanent
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