Machine Learning Engineer (MLOps focus)
Role details
Job location
Tech stack
Job description
- Design and automate end-to-end ML pipelines (CI/CD, CT) for training, evaluation, and deployment.
- Productionise ML models into clean, modular, and maintainable codebases.
- Implement versioning and governance practices for data, code, and models.
- Monitor model performance, data drift, and system reliability.
- Collaborate with cross-functional teams to deliver scalable ML solutions.
Requirements
Do you have experience in Spark?, Machine Learning Engineer (MLOps focus) with 6+ years of experience designing and automating end-to-end ML pipelines (CI/CD, CT), productionising models, and ensuring scalable, reliable deployments. Strong Python, SQL, Spark, Azure DevOps, and Git expertise with experience in model governance, monitoring, and cross-functional collaboration in data-driven environments., * Minimum 6 years of experience in ML Engineering or MLOps.
- Strong proficiency in Python and SQL.
- Experience with Apache Spark or similar frameworks for large-scale data processing.
- Hands-on experience with CI/CD tools (e.g., Azure DevOps).
- Familiarity with MLOps frameworks, model registries, and experiment tracking.
- Proficient in Git for version control.
- Ability to align technical deliverables with business objectives., * Experience with Docker, Kubernetes, and ML monitoring tools.
- Solid understanding of ML algorithms (e.g., regression, classification, clustering).
- Familiarity with libraries such as scikit-learn and pandas.
- Ability to translate business requirements into technical solutions.
- Strong customer focus and stakeholder engagement.
Benefits & conditions
- Great team of smart people, in a friendly and open culture
- Expand your knowledge of various business industries
- Create content that will help our users on a daily basis
- Real responsibilities and challenges in a fast evolving company
Work at yechte
We are an independent digital consultancy with ambitious goals and a global presence. We support a diverse range of companies, building digital teams and delivering innovative digital solutions. Our multicultural and diverse workforce, comprised of 'Global Citizens', reflects this inclusivity.
We care about work-life balance and meeting the expectation of a growing team, investing in people because they are our greatest asset. Our consistent growth is a testament to this commitment.
Come work at yechte, a company on the rise, offering excellent benefits, opportunities for personal development, and the chance to learn from accomplished leaders. We are always looking for exceptional professionals to join our team.