Machine Learning Engineer Calderara di Reno

Machine Learning Engineer
Calderara di Reno
Emilia Romagna, Calderara di Reno

Machine Learning Engineer

Apply locations BolognaTime type: Full timePosted on: Posted 4 Days AgoJob requisition id: JR100079

Are you curious and ready to accept a new challenge in your career?

Are you eager to join a dynamic company and bring innovation through your work and skills? Prometeia offers you opportunities for growth and training in a Group with over 1000 professionals working for more than 500 clients in 20 countries around the world.

RESPONSABILITIES:• Development of machine learning prototypes and end-to-end solutions for real-time analysis or batch analysis of large amounts of data• Model lifecycle management through MLOps techniques• Development of automatic systems for testing, integration, and the deployment of software artifacts and their lifecycle management• Development of proactive monitoring systems• Optimize the performance and scalability of machine learning models• Work closely with data scientists to translate research models into production-ready solutions

REQUIREMENTS:• Good knowledge of Python• Good knowledge of data structures and problem-solving skills• Attitude to design and develop maintainable, robust, and scalable code using, if possible, a test-driven development (TDD) approach. • Knowledge of the PaaS and SaaS solutions offered by different cloud providers (Azure, AWS, GCP).

Ability to design a cloud-native solution taking into account requirements and performing a cost-benefits analysis• Good knowledge of relational databases such as Postgres and document databases, like MongoDB• Knowledge of containerization (Docker)• Basic knowledge of distributed systems• Experience with code versioning systems (Git)• Ability to work on Linux systems without much supervision

NICE TO HAVE:• Knowledge of one or more distributed computing frameworks and their applicative stack: e. g. , Spark, Apache Flink• Knowledge of Machine Learning and Data Science libraries and frameworks such as pandas, numpy, scikit, pytorch, and tensorflow• Knowledge of container orchestration systems: Kubernetes• Familiarity with Triton Inference Server or similar for deploying and serving high-performance machine learning models

EDUCATION• Bachelor's or Master's degree with excellent grades in Computer Science, Data Science, Statistics, Physics, Mathematics, or related fields• Experience in a business context (including Internship), preferably for a company in the financial or insurance field

WHAT WE OFFER:COMPENSATION, WELFARE & BENEFIT Our history, as well as the future, is based on the value of our people.

The biggest investment at Prometeia is in our people, and it concerns every aspect of professional life.

We call it 'Total Compensation' and is made up of Compensation - consisting of a fixed and a variable component -, an important Welfare Plan, active since 2015 – we have been among the first to introduce it in Italy - and Benefits, which include all the initiatives undertaken for the well-being of our people.

REMOTE WORKING Flexibility is an intrinsic value of the way we work.

At Prometeia, smart working is an organizational method based on trust, which results in benefits in terms of work/life balance, impact on the environment, and optimization of company results, through autonomy and empowerment of people.

PEOPLE PROGRAM Our evaluation system is based on the full enhancement of people and their continuous dialogue as a stimulus for regular, mutual professional and personal growth.

Transparent discussions between managers and team members are set up within the projects, where reciprocal and timely feedback is exchanged.

The process is fully digitalized and aimed at continuously improving the development trajectory of the individual and the company.

TRAINING Prometeia means ongoing training.

We provide an average of 11 days of training per year to our people, in person and online.

Particular attention is paid to younger colleagues, who are the protagonists of dedicated growth programs, and to the continuous sharing and internal transfer of know-how and skills.

On-the-job training is also important, through immediate and direct confrontation with the market.

WIN/WIN POLICY If you are one of our employees, and you recommend a person who is later recruited, you are entitled to a financial bonus!

This is an important opportunity to contribute to the growth of Prometeia as a whole, by attracting acknowledged market professionals and new tech talents.

PHYGITAL MANAGEMENT Through the dedicated app Pr(Home)teia, we have completely digitalized and integrated the management of our physical and virtual environments.

Access to the office, smart working, workstations, meeting rooms, carpooling. . . everything is just a click away.

COMMUNITY Our Community is extremely diverse, as are the skills of the people who are part of it and who share its values, and the individuals and organizations that are directly or indirectly involved in our activities.

Clients, People of the Group, Alumni, Institutions, Academia, non-profit entities with which we actively collaborate, are stakeholders representing a great value for us, in terms of trust and collaboration.

DIVERSITY We promote and respect equal opportunities and consider differences as a value.

Diversity & Inclusion are fundamental values: from the selection phase to everyday life, also through dedicated training moments to develop individual sensitivities and unicities.

IMPACT We responsibly take an active role towards the environment, the territories, and the communities in which we operate.

Our Headquarter in Bologna has obtained the Leed Gold Certification, one of the highest awards that recognizes the performance of the building in terms of energy and water savings, reduction of CO2 emissions, improvement of the ecological quality of the interior, materials, and resources used.

In the Sustainability Report we report the results achieved within the 17 Sustainable Development Goals (SDGs) of the 2030 Agenda that, drafted by the United Nations in 2016, we have been supporting since 2020.

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