Machine Learning Engineer (Analyst)

Iaawg; Modena; Ibrido; EUR 45.000 - 65.000; Tempo pieno

Descrizione del lavoro

A leading consultancy firm in Italy seeks a Machine Learning Engineer to develop and manage AI solutions for banks and insurance companies. Candidates should have expertise in Python, cloud services, and machine learning libraries. The role offers a comprehensive benefits package, flexible working arrangements, and career growth opportunities in a dynamic environment.

Servizi

Comprehensive Total Compensation package

Flexible smart working arrangements

Regular training programs

Employee referral bonuses

Competenze

• Experience with ML and Data Science libraries like pandas, numpy, scikit-learn.
• Comfort working on Linux systems.

Mansioni

• Develop machine learning prototypes and end-to-end solutions.
• Manage model lifecycle using MLOps techniques.
• Optimize performance and scalability of ML models.

Conoscenze

Proficiency in Python

Knowledge of data structures

Ability to develop maintainable code

Experience with cloud PaaS and SaaS solutions

Knowledge of relational and document databases

Experience with Docker

Basic understanding of distributed systems

Formazione

Bachelor's or Master’s degree in Computer Science or related fields

Strumenti

Docker

Git

Descrizione del lavoro

Machine Learning Engineer (Analyst)

Location: Bologna, Milano - Brera | Type: Full time | Posted: 30+ Days Ago | Requisition ID: JR100103

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 opportunities for growth and training within a group of over 1000 professionals serving more than 500 clients across 20 countries worldwide.

We are seeking professionals to join our Data Science team, which supports the digital transformation of banks and insurance companies through AI-intensive systems that analyze heterogeneous and increasing data, emphasizing scalability, resilience, and adaptability.

Responsibilities:

• Develop machine learning prototypes and end-to-end solutions for real-time or batch data analysis.
• Manage model lifecycle using MLOps techniques.
• Develop automated testing, integration, deployment systems, and lifecycle management processes.
• Create proactive monitoring systems.
• Optimize performance and scalability of ML models.
• Collaborate with data scientists to deploy research models into production.

Requirements:

• Proficiency in Python.
• Knowledge of data structures and problem-solving skills.
• Ability to develop maintainable, robust, and scalable code, preferably with TDD approach.
• Experience with cloud PaaS and SaaS solutions (Azure, AWS, GCP), including designing cloud-native solutions with cost analysis.
• Knowledge of relational (Postgres) and document (MongoDB) databases.
• Experience with Docker containerization.
• Basic understanding of distributed systems.
• Experience with Git version control.
• Comfort working on Linux systems.

Nice to Have:

• Knowledge of distributed computing frameworks like Spark or Flink.
• Experience with ML and Data Science libraries (pandas, numpy, scikit-learn, PyTorch, TensorFlow).
• Knowledge of Kubernetes for container orchestration.
• Familiarity with Triton Inference Server or similar for deploying high-performance ML 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, preferably in finance or insurance, including internships.

What We Offer:

• Comprehensive Total Compensation package, Welfare Plan, and various benefits.
• Flexible smart working arrangements to promote work/life balance.
• Regular training programs and internal knowledge sharing.
• Employee referral bonuses.
• Digitalized management of physical and virtual environments via the Pr(Home)teia app.
• Focus on inclusion, respect for diversity, and active stakeholder engagement.
• Commitment to environmental and social responsibility, including LEED Gold Certification and SDGs support.

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If you enjoy rapid growth and working with enthusiastic, high-achieving colleagues, you'll find a great career with us!

About Us:

Prometeia is a leading provider of advisory services, tech solutions, and research insights, with over 1000 professionals worldwide, specializing in Risk, Wealth Management, and Financial Advisory for institutional clients. We collaborate with banks, insurance companies, and other entities to optimize performance.

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