Mlops Engineer Milano

Mlops Engineer
Milano
Lombardia, Milano

MLOps Engineer – Data Science AI (Milan/Italy) We are looking for an MLOps Engineer to join the Data Science AI team of a leading telecommunications company in Italy.

This role offers the opportunity to work in a cutting-edge environment, collaborating with Data Science and Machine Learning experts as well as key decision-makers.

The ideal candidate will play a critical role in industrializing AI solutions, optimizing ML workflows, and enhancing the operational efficiency of the team by applying MLOps, DevOps, and software engineering best practices.

Company Requirements Company :End User / Telco Experience :Minimum 3 years of working experience Skills:MLOps, DevOps, Google Cloud Platform, Machine Learning, Python, SQL, Shell, Docker, Terraform, Git, MLflow, Airflow, Scikit-learn, Data Pipelines, Model Deployment, Microservices, Distributed Computing, Feature Engineering, CI/CD, Task Orchestration, Monitoring, Cloud Infrastructure Tasks Collaborate with Data Scientists to translate business opportunities into scalable and efficient ML workflows.

Optimize, refactor, and re-engineer data pipelines and machine learning models to enhance performance and maintainability.

Lead the industrialization of ML models, including orchestration, model serving, monitoring, and deployment in production environments.

Implement and maintain MLOps best practices, ensuring automation and standardization of ML processes.

Drive the evolution of ML automation architectures, improving operational efficiency across the team.

Ensure seamless model deployment on microservices architectures and integration into cloud environments.

Coordinate with cross-functional teams, including Data Engineering, IT Operations, and Business Units, to ensure smooth ML model deployment and scalability.

Manage and optimize data sources, including structured and unstructured data from internal databases, external APIs, real-time streams, and cloud storage.

Skills Experience Master's or PhD in Computer Science, Data Science, or a related field, with a strong foundation in Software Engineering 3+ years of experience in MLOps, DevOps, or Machine Learning Engineering roles.

Expertise in MLOps methodologies, including development, deployment, monitoring, and CI/CD pipelines for ML applications.

Strong programming skills in Python, SQL, and Shell scripting.

Proficiency in Google Cloud Platform and experience with distributed computing architectures.

Hands-on experience with tools such as Docker, Terraform, Git, MLflow, Airflow, Scikit-learn.

Solid understanding of modern ML algorithms, data processing, feature engineering, and model lifecycle management.

Experience deploying applications and ML models in microservices architectures What's Offered Competitive annual gross salary, based on skills and experience.

Permanent contract.

Comprehensive welfare package, including sustainable mobility, family benefits, health, and well-being initiatives.

Training programs for professional growth.

Smart working options.

Commitment to Diversity Inclusion We embrace a culture of openness, inclusion, and respect, fostering an environment where everyone can express their unique skills and potential, while enhancing collaboration and a sense of belonging.