Data Scientist/ML Engineer

Linedata

Posted on 17 Oct

Experience

1 - 7 Years

Job Location

Tunisia - Tunisia

Education

Bachelor of Technology/Engineering(Computers)

Nationality

Any Nationality

Gender

Not Mentioned

Vacancy

1 Vacancy

Job Description

Roles & Responsibilities

Main missions

  • Design, develop and deploy machine learning and generative AI models that meet the needs of financial professions;
  • Analyze and enhance internal and external data to generate actionable insights ;
  • Participate in the creation and structuring of data pipelines in collaboration with Data Engineers;
  • Contribute to the implementation of industrialization and model monitoring solutions;
  • Collaborate closely with product teams and third-party business experts to translate functional needs into data solutions ;
  • Carry out exploratory studies, prototypes and POCs to validate analytical approaches;
  • Ensure technological monitoring of new data analysis methods and tools.

Technical skills required

  • My experience with Python programming languages ​​(pandas, scikit-learn, PyTorch, TensorFlow, etc.);
  • Solid understanding of machine learning , deep learning and applied statistics techniques ;
  • Good knowledge of SQL / NoSQL databases and cloud environments (AWS, Azure, GCP) ;
  • Knowledge of data visualization tools (Power BI, Tableau, Plotly, etc.) is a plus;
  • Knowledge of good industrialization practices (Git, CI/CD, APIs, Docker, etc.) ;

Desired Candidate Profile

  • Design, develop and deploy machine learning and generative AI models that meet the needs of financial professions;
  • Analyze and enhance internal and external data to generate actionable insights ;
  • Participate in the creation and structuring of data pipelines in collaboration with Data Engineers;
  • Contribute to the implementation of industrialization and model monitoring solutions;
  • Collaborate closely with product teams and third-party business experts to translate functional needs into data solutions ;
  • Carry out exploratory studies, prototypes and POCs to validate analytical approaches;
  • Ensure technological monitoring of new data analysis methods and tools.

Company Industry

Department / Functional Area

Keywords

  • Data Scientist/ML Engineer

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