Machine Learning Engineer

1 settimana fa


San Lazzaro, Emilia-Romagna, Italia Artemest A tempo pieno
About Artemest

Artemest is a leading digital platform that showcases the world of Italian craftsmanship and design. Our sophisticated platform offers an unparalleled selection of over 60,000 products, carefully curated by our discerning team. Each piece is a testament to the skill and knowledge of its maker, with a unique beauty and incomparable quality.

Founded in 2015 by CEO Marco Credendino and Creative Director Ippolita Rostagno, Artemest has grown into a global community, preserving Italian craft traditions while expanding its reach. Our headquarters in Milan, Italy, and physical gallery in West Chelsea, New York, serve as hubs for our international team.

Job Description

We are seeking a highly skilled Machine Learning Engineer to join our team. As a key member of our data science team, you will collaborate closely with stakeholders to develop models that drive business growth and scalability.

Key Responsibilities
  • Design, develop, and productionize ML models to drive business outcomes
  • Transform data science prototypes into actionable insights
  • Perform statistical analysis and use results to improve model performance
  • Train and retrain ML systems and models as needed
  • Identify data distribution differences that impact model performance
  • Visualize data for deeper insights
  • Communicate findings to inform business decisions
  • Enhance existing ML frameworks and libraries
  • Verify data quality and ensure data cleaning
Requirements
  • Proven experience as a Machine Learning Engineer or similar role
  • Understanding of data structures, data modeling, and software architecture
  • Deep knowledge of math, probability, statistics, and algorithms
  • Ability to write robust code in Python and R
  • Familiarity with machine learning frameworks
  • Excellent communication skills
  • Previous ecommerce experience is a plus
What We Offer
  • Permanent contract
  • Salary offer based on experience and expertise
  • Professional growth and salary review based on skills improvement
  • Opportunity to influence technological stack choices
  • International work environment with remote team collaboration
  • Training and updating through IT events and conferences
Perks
  • Inspiring professionals with a strong management team
  • Entrepreneurial mentality with opportunities for growth
  • Innovative and tech-oriented environment

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