Staff Machine Learning Engineer @ - Poland, Polska - Stellantis

Opis

Stellantis Gliwice company was established as a result of the merger of Opel Manufacturing Poland & PSA Manufacturing Poland and is a part of the fourth largest automotive company in the world - Stellantis.

Stellantis is a leading global mobility player guided by a clear mission: to provide freedom of movement for all through distinctive, appealing, affordable and sustainable mobility solutions.

Our Company's strength lies in the breadth of our iconic brand portfolio, the diversity and passion of our 300,000 people, and our deep roots in the communities in which we operate.

Our World Great mobility solutions start with great people This is an exciting time to join us Stellantis is a leading global mobility player guided by a clear mission: to provide freedom of movement for all through distinctive, appealing, affordable and sustainable mobility solutions.

Our Company's strength lies in the breadth of our iconic brand portfolio, the diversity and passion of our 300,000 people, and our deep roots in the communities in which we operate.

In this new era of mobility, our portfolio of brands is uniquely positioned to offer distinctive and sustainable solutions to meet the evolving needs of customers, as they embrace electrification, connectivity, autonomous driving and shared ownership.

Founded by visionaries who infused them with passion and competitive spirit, these brands have made automotive history for more than a century and continue to speak to customers and inspire our employees today.

The driving force behind us is the diverse and talented group of men and women around the world who bring their passion and experience to their work every day.

And while we are a truly global organization, we remain deeply rooted in the communities in which we operate and our people live and work.

We offer:

Contract of employment Remote working model with occasional presence in the office Flexible working time Private medical care Extra social benefits Languages learning platform Corporate products and services at discounted prices Free parking space for employees Opportunity to expand international experience and build global professional relations Enjoyable and comfortable working environment where we appreciate your commitment At Stellantis, we assess candidates based on qualifications, merit and business needs.

We welcome applications from people of all gender identities, age, ethnicity, nationality, religion, sexual orientation and disability.

Diverse teams, will allow us to better meet the evolving needs of our customers and care for our future.

Top Performers will be able to demonstrate: Experience in converting data science prototypes for deployment into production purposes Record of designing and implementing scalable, performant data and machine learning pipelines, services, and products Understanding of distributed data systems and experience in using open source frameworks to build applications Be able to communicate collaboratively with Data Scientist, Infrastructure teams and client to understand requirements and scope Solid intuition when choosing the right ML/AI approaches to the problems given Ability to influence non-technical peers and leadership to deliver substantive change Mentorship for less experienced colleagues and guardian of good standards Skills: MSc / MEng degree in Statistics, Computer Science, Automatic Control, STEM, Engineering or a related discipline 5+ years of professional experience, coding in Python or other languages 3+ experience in the operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms like Databricks+MLFlow, Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, Data Robot, DKube Experience in CI/CD/CT pipeline implementation Good overview of AWS services to design cloud solutions Good knowledge in shell scripting and networking Working proficiency in English Extra points for: Multidimensional skill set: data science, experimentation, AI, statistics, engineering, etc.

Experience in front- and backend design and development (leveraging Django, , Streamlit or similar) Hands-on experience with containerization (using Kubernetes, Docker) Hands-on experience with Py Spark and SQL

Stellantis Gliwice company was established as a result of the merger of Opel Manufacturing Poland & PSA Manufacturing Poland and is a part of the fourth largest automotive company in the world - Stellantis.

Stellantis is a leading global mobility player guided by a clear mission: to provide freedom of movement for all through distinctive, appealing, affordable and sustainable mobility solutions.

Our Company's strength lies in the breadth of our iconic brand portfolio, the diversity and passion of our 300,000 people, and our deep roots in the communities in which we operate.

Our World Great mobility solutions start with great people This is an exciting time to join us Stellantis is a leading global mobility player guided by a clear mission: to provide freedom of movement for all through distinctive, appealing, affordable and sustainable mobility solutions.

Our Company's strength lies in the breadth of our iconic brand portfolio, the diversity and passion of our 300,000 people, and our deep roots in the communities in which we operate.

In this new era of mobility, our portfolio of brands is uniquely positioned to offer distinctive and sustainable solutions to meet the evolving needs of customers, as they embrace electrification, connectivity, autonomous driving and shared ownership.

Founded by visionaries who infused them with passion and competitive spirit, these brands have made automotive history for more than a century and continue to speak to customers and inspire our employees today.

The driving force behind us is the diverse and talented group of men and women around the world who bring their passion and experience to their work every day.

And while we are a truly global organization, we remain deeply rooted in the communities in which we operate and our people live and work.

We offer:

Contract of employment Remote working model with occasional presence in the office Flexible working time Private medical care Extra social benefits Languages learning platform Corporate products and services at discounted prices Free parking space for employees Opportunity to expand international experience and build global professional relations Enjoyable and comfortable working environment where we appreciate your commitment At Stellantis, we assess candidates based on qualifications, merit and business needs.

We welcome applications from people of all gender identities, age, ethnicity, nationality, religion, sexual orientation and disability.

Diverse teams, will allow us to better meet the evolving needs of our customers and care for our future.

,[Developing, researching and implementing MLOps frameworks, tools and platforms for our Data Science projects, Designing and implementing infrastructure for machine learning cloud services, Creating microservices for task-specific AI cloud services, Implementing solutions for monitoring model performance and triggering alerts, Enhancing speed of delivery, automating Model Retraining, Model Monitoring, Model Versioning, improving quality/security of code, and optimizing processes, Collaborating with the data platform team to create a feedback loop and improve the underlying data infrastructure, Partnering with peers to ensure scalability, business continuity and appropriate turnaround time, Working on a backlog of activities to raise MLOps maturity in the organization.

Evolve our framework as new technologies and techniques emerge, Proactively introduce a modern, agile and automated approach to Data Science] Requirements: Data science, Machine learning, Open source, AI, MSc, MLOps, Kubeflow, AWS Sage Maker, Azure, AWS, AWS, Shell, Networking, Django, , Kubernetes, Docker, Py Spark, SQL Tools: Jenkins, Agile, Scrum.

Additionally:

Private healthcare, Small teams, International projects, Sport subscription, Extra social benefits, Corporate products and services at discounted pric, Canteen, Bike parking, Free parking, In-house trainings.