Machine Learning Engineer (MLOps focus)

• 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.

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.

• 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.