Machine Learning Engineer Slatina

DISCOVER PIRELLI

We are a global leader in the tire industry, specialized in designing, developing, manufacturing, and marketing high-performance tires for cars, motorcycles, and bicycles. With a presence in over 160 countries and around 18 production facilities, we pride ourselves on`1 our cutting-edge technology and commitment to sustainability. Innovation is at the heart of everything we do, and it is fueled by our commitment to the inclusion of unique perspectives and different experiences. Because power is nothing without our people!

Since 2005, Pirelli has chosen to invest in Romania and developed a project in Slatina that created over 4,500 jobs. The local factory has become one of the most advanced production facilities in the Pirelli group to produce car tires. Pirelli also owns a motorsport unit in Slatina, where it also produces tires for Formula 1.

WHY JOIN US

We are offering a rewarding role with scope for career progression along with:

·         International, engaging, and supportive working environment.

·         Global onboarding process.

·         Bespoke training and development programs accessible to all.

·         Competitive welfare and benefits package.

DRIVE YOUR FUTURE

This role is well-suited for individuals with a technical background, particularly in industrial engineering. The ideal candidate should be analytical, detail-oriented, and capable of handling complex data. At Pirelli you will apply statistical analysis and machine-learning techniques to a wide range of data (from sensors, to telemetry, to manufacturing) and you will change how decisions are made across all business units. You will oversee deploy and manage ML solutions and data architecture of an entire factory, collaborating with HQ data science team and local people to help increase the knowledge and the efficiency of the plant.

YOUR CORE ACTIVITIES

Monitor ML processes and performances and their impact on the factory

Tune such models and adapt them continuously

Explore data, monitoring and helping increase their quality

Facilitate the communication between HQ team and the plant workers

WHAT WE ARE LOOKING FOR

·         Master’s in Computer Science, Physics, Math, Engineering, Statistics or any other data-oriented or coding related disciplines.

·         PhD is a plus. Good knowledge of machine learning (ML) models

·         Experience with ML model deployment, lifecycle management, and monitoring in production environments (MLOps)

·         Strong programming skills in Python with advanced knowledge of TDD (Test-Driven Development), OOP (Object-Oriented Programming), and software engineering best practices

·         Data visualization expertise

·         Advanced knowledge of SQL

·         Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or Keras

·         Experience with GIT and collaborative development tools (e.g., GitHub, GitLab, Bitbucket)

·         Good communication skills and empathy, Curiosity

·         Proficiency in data visualization (e.g., Matplotlib, Seaborn, Plotly, or Dash)

·         Knowledge of CI/CD

·         Experience with Docker, with deep learning, Apache Spark

·         Working experience with AWS cloud framework and services

·         Understanding of model governance, data versioning (e.g., DVC, MLflow), and reproducibility

·         Hands-on experience with AWS and its services for data science/ML (e.g., S3, SageMaker, EC2, Lambda, Glue)

WHAT PUTS YOU IN POLE POSITION 

·         Prior experience using agile and scrum

·         Previous experience in professional end-to-end ML projects

·         Analytical capabilities and problem-solving attitude

APPLY NOW, DRIVE YOUR FUTURE!
#WePirelli