Match score not available

Unlock Premium Benefits Today!
🚀 Elevate your career with priority access.
Stand out to top recruiters with Jobgether Priority Access:
  • ✅ Top Match: We help you identify job offers where you're a perfect fit.
  • ✅ Exclusive Referral Service: Connect directly with recruiters as a Jobgether Certified Premium User.
  • ✅ Personalized Feedback: Receive feedback and expert guidance on applications, and have your profile manually reviewed.

Start Your Free Trial Now!

Start my free trial

Career Opportunities: Data Scientist - Global Trainee Program 1 (127979)

extra holidays - fully flexible
Remote: 
Full Remote
Contract: 
Internships
Experience: 
Junior (1-2 years)
Work from: 
Italy

Offer summary

Qualifications:

Master's degree in Computer Science or related field., Proficiency in Python and data analysis., Fundamental knowledge of SQL., Desire to learn machine learning solutions..

Key responsabilities:

  • Process and prepare data from various sources.
  • Create interactive data visualizations and web applications.
  • Perform multivariate data analysis using machine learning.
  • Train and deploy predictive models.
  • Design GenAI solutions for NLP projects.
  • Communicate findings to stakeholders.

Tenaris logo
Tenaris Utilities (Electric, gas & water) XLarge https://www.tenaris.com/
10001 Employees
About Tenaris
Tenaris is a leading supplier of tubes and related services for the world’s energy industry and certain other industrial applications. Our mission is to deliver value to our customers through product development, manufacturing excellence, and supply chain management. Tenaris employees around the world are committed to continuous improvement by sharing knowledge across a single global organization. Our customers include most of the world’s leading oil and gas companies as well as engineering companies engaged in constructing oil and gas gathering, transportation and processing facilities. Our principal products include casing, tubing, line pipe, and mechanical and structural pipes. Tenaris employs around 25,500 people from more than 25 countries. From the moment they enter the company, our employees follow a career plan specially designed to meet their professional goals. TenarisUniversity, Tenaris’s corporate university, offers high-quality, job-specific curricula and development plans that help them succeed in the many challenging assignments faced during their careers. Our employees work in a culturally diverse setting that enriches their professional as well as their personal lives. As part of our fundamental corporate values, Tenaris offers our employee an active participation in a long-term, sustainable industrial project. RECRUITMENT FRAUD: We’ve received reports that unauthorized individuals are fraudulently recruiting and extending fake job offers on behalf of Tenaris. We encourage prospective candidates to remain vigilant. Additional information on how to recognize recruitment fraud or scams can be found at: https://www.tenaris.com/en/careers/recruitment-fraud Please remember that Tenaris never asks job applicants to pay a fee as part of the recruitment process.
See all jobs

Job description

 

http://www.valoreazioni.com/wp-content/uploads/2012/11/tenaris-y-la-insercion-laboral1.jpg

Junior Data & Machine Learning Engineer

Tenaris, the world's largest producer of seamless steel pipes for the energy industry, harnesses data from its global operations to enhance process quality and efficiency.
Since 2016, the Tenaris Data Science team has been implementing cutting-edge solutions in anomaly detection, computer vision, time series forecasting, optimization, and large language models (LLMs).

We are seeking a Junior Data & Machine Learning Engineer to join our team of ten professionals and grow with us as we tackle exciting challenges in data and AI-driven solutions.

Role Responsibilities
  • Process and prepare data from diverse industrial sources using different tools and technologies (Spark, Pandas, Kafka, NiFi, SQL, digital signal processing etc.)
  • Create interactive data visualizations and web applications, enabling users to explore data and models effectively.
  • Perform multivariate data analysis to discover correlations between process variables and outcomes using modern machine learning techniques.
  • Train and deploy predictive models.
  • Design and implement Generative AI (GenAI) solutions for Natural Language Processing (NLP) projects, including tasks such as text classification, summarization, sentiment analysis, and conversational AI
  • Deploy and integrate solutions with existing industrial systems.
  • Communicate findings and insights to stakeholders through visualizations, reports, and presentations.
  • Collaborate with end-users throughout the project lifecycle, both in Italy and in mills across the globe.
Mandatory Qualifications
  • Master’s degree in Computer Science, Computer Engineering, or a related field.
  • Proficiency in Python programming and basic data analysis using Python libraries (e.g., Pandas, NumPy, scikit-learn).
  • Fundamental knowledge of SQL.
  • Strong desire to learn how to design and develop full-stack data and machine learning solutions.
  • Interest for solving industrial challenges with data-driven approaches.
  • Excellent analytical skills and a problem-solving mindset.
  • Strong communication skills and proficiency in English.
Considered as a Plus
  • Experience with Linux operating systems.
  • Basic knowledge of Kubernetes.
  • Prior international experience.
  • Proficiency in Spanish.
  • Up to 2 years in analogous roles in other companies
What We Offer
  • An international training program designed for young professionals’ development.
  • A collaborative environment to develop skills in data engineering and machine learning.
  • Exposure to real-world production systems and cutting-edge technology.
  • Opportunities to work in a dynamic, multicultural company.
  • One day a week of remote working.
 

Required profile

Experience

Level of experience: Junior (1-2 years)
Industry :
Utilities (Electric, gas & water)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Python (Programming Language)SQL (Programming Language)Machine LearningData AnalysisSparkrNatural Language Processing (NLP)Pandas (Python Package)Digital Signal ProcessingApache NiFiGenerative Artificial IntelligenceApache KafkaPredictive ModelingData VisualizationKubernetesSpanish CultureLinux

Other Skills

  • Problem Solving
  • Communication
  • Analytical Skills
Are you interested?

Machine Learning Engineer Related jobs

See more Machine Learning Engineer jobs