Machine Learning Engineer

1 giorno fa

Milano, Lombardia, Italia Vodafone A tempo pieno

Role Purpose:

The Data Scientist will be part of the VNO Digital function, focusing on automating Network Operations processes.

The team's main objective is to:

  • Interact with Network operations teams to identify, develop, and industrialize data science and analytics use cases.
  • Evaluate ZTO vendor solutions and coordinate their integration with our platforms.
  • Automate Field management processes.

The successful candidate will be responsible for:

  • Identifying profitable data science/big data business cases.
  • Implementing machine learning Python prototypes and deploying industrialized code on Cloudera Hadoop, cloud AWS/GCP, or Kubernetes-based platforms, assisted by data engineering teams.
  • Performing and providing technical leadership for data analysis and supporting data-driven business decisions.
  • Leading data management choices and architectural solutions.

Key Accountabilities and Decision Ownership:

The Data Scientist will be accountable for:

  • Identifying data science/big data/analytics use cases for Network Operations and architectural High-Level Design.
  • Choosing and implementing the best machine learning algorithm suited to the use case.
  • Industrializing use cases on Cloudera, Openshift/K8, or on AWS/Google cloud environments, with data engineer support.
  • Providing technical leadership in analysis and data management domains.
  • Data-driven evaluation of vendor product adoption.

Core Competencies, Knowledge, and Experience:

The ideal candidate will possess:

  • 2+ years of experience in machine learning software development and data analysis.
  • Experience in designing and implementing use cases over big data architectures involving massive data volume, under real-time constraints.
  • Knowledge of pros and cons of existing data storage technologies (relational DB, Big Data Frameworks, no-SQL DB on cloud and on prem).

Must-Have Technical/Professional Qualifications:

The Data Scientist must have:

  • A degree in Computer Science, Maths, Engineering, or equivalent.
  • Proficiency in SQL, Python (Pandas, Tensorflow, Scikit-learn, and main other ML libs), Pyspark, and software development capabilities.
  • Machine learning algorithms knowledge (NLP, Neural Networks, Random Forest, SVM, Anomaly Detection, especially over time series, Gradient Boost, and all other main ML models both supervised and unsupervised).
  • Excellent analytics and mathematics skills.

Nice to Have:

The ideal candidate may also possess:

  • Experience in using BI reporting tools (Qlik/Power BI/Tableau).
  • Experience in coding in microservices, within Docker-based architectures, in cloud or on-prem platforms.
  • Knowledge of DevOps pipeline and main tools for code versioning, automatic testing, and continuous integration in both on-prem and cloud environments.
  • Data Architect or Cloud Certifications.

Who We Are:

Vodafone is a leading Telecommunications company in Europe and Africa, continuously investing in new technologies to improve lives.

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