Azure ML Ops Engineer

We are currently hiring for our client who has more than 55 years of expertise and more than 500, 000 employees across 6 continents, delivers Global Information Technology, Consulting and Business Process Services, in Cognitive Computing, Hyper-automation, Robotics, Cloud, Analytics and Emerging Technologies for the international leading organizations across the world in diverse domains such as Aerospace and Defense, Capital Markets, Banking, Retail, Utilities, Platform and Software Products, Healthcare, Insurance, Oil and Gas and many others.

Position: Azure ML Ops Engineer

Location: Spain

Engagement: Permanent Role

Mode of Work: Remote from Spain only; candidate must be Spanish and in Spain, not outside

Job Description

Must Haves:

• 5+ years of experience in machine learning engineering or applied ML with a focus on Azure cloud technologies.
• Proficient in Python (preferably OOP), PySpark and strong experience with ML frameworks such as Scikit-learn, TensorFlow, and PyTorch.
• Hands-on experience with Databricks platform tools.
• Solid understanding of data preprocessing, feature engineering, and model optimization.
• Experience with ML pipeline orchestration using tools like MLflow and Azure Machine Learning.
• Excellent understanding of evaluation metrics and ML evaluation methods such as A/B testing and cross-validation.
• Experience with Git and building CI/CD pipelines for ML models, preferably in Azure DevOps/Azure Pipelines.

Contact Details: [email protected]

Equal Opportunity Employers: Our clients provide equal opportunities to all their employees and qualified applicants for employment, without regard to their race, caste, religion, colour, ancestry, marital status, sex, age, nationality, disability, or veteran status. Employees of our clients are treated with dignity and in accordance with their policy to maintain a work environment free of sexual harassment, whether physical, verbal, or psychological. We administer employee policies and practices to ensure that, in all matters, equal opportunity is provided to those eligible and that decisions are merit-based.

Not checking every single requirement?

If this role sounds good to you, even if you don’t meet every single bullet point in the job description, we encourage you to apply anyway. For most of the candidates who applied, we found a role that was a very good fit with their skills.

Let’s meet, and you may just be the right candidate for one of our roles.