Data Machine Learning Engineer 127979
Data Machine Learning Engineer 127979
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Job Description
Data & Machine Learning Engineer
Tenaris the worlds 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 cuttingedge solutions in anomaly detection computer vision time series forecasting optimization and large language models (LLMs).
We are seeking a Data & Machine Learning Engineer to join our team of ten professionals and grow with us as we tackle exciting challenges in data and AIdriven 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 endusers throughout the project lifecycle both in Italy and in mills across the globe.
Mandatory Qualifications
- Masters 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 scikitlearn).
- Fundamental knowledge of SQL.
- Strong desire to learn how to design and develop fullstack data and machine learning solutions.
- Interest for solving industrial challenges with datadriven approaches.
- Excellent analytical skills and a problemsolving 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 realworld production systems and cuttingedge technology.
- Opportunities to work in a dynamic multicultural company.
- One day a week of remote working.
- Competitive Salary
Employment Type
Trainee
