Chief Machine Learning Architect

1 dia atrás

Lisboa, Lisboa, Portugal Buscojobs Portugal Tempo inteiro

Job Overview

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We are seeking an experienced and accomplished Chief Machine Learning Architect to lead our Data Science team in Lisbon, Portugal. As a key member of our global team, you will have the opportunity to drive innovation and strategic initiatives that will shape the future of our services.

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The Role's Mission

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In this pivotal role, you will oversee the development and deployment of deep learning models, collaborate with engineers to integrate ML algorithms, maintain production-level code, implement data engineering for automated solutions, and explore new ML methods for efficient data analysis.

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Key Responsibilities

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  • Supervise and inspire data scientists in the team, fostering collaboration and implementing best practices throughout projects.">
  • Develop and oversee sophisticated deep learning models and statistical algorithms, deploying novel solutions and efficiently retrieving data for robust model building.">
  • Work collaboratively with the Data Engineering team, seamlessly deploying and integrating Machine Learning (ML) algorithms to enhance overall functionality.">
  • Exhibit coding prowess by developing, commenting, maintaining, and sharing legible and production-level programming code, ensuring transparency and reliability.">
  • Explore new ML methods for the streamlined analysis of large datasets.">
  • Create compelling data visualizations, meticulously documenting and communicating findings to internal stakeholders in a structured and impactful manner.">
  • Drive the delivery of effective solutions by consulting with internal stakeholders, solving critical business questions, and providing business recommendations from a Data Science perspective.">
  • Take full responsibility for key projects, consistently raising the performance bar and ensuring the highest standards of excellence.">
  • Identify and harness opportunities for applying data science to improve, optimize, and expand existing solutions.">
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Required Skills and Qualifications

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  • Academic background (Bachelor's, Master's or PhD Degree) in Computer Science, Data Science, Machine Learning Engineering, Statistics or equivalent fields.">
  • Business proficiency in English (B2 Level Minimum Required).">
  • Minimum of 5 years of demonstrable experience in ML Engineering or Data Science roles.">
  • Experience with the end-to-end Data Science cycle: from data collection to model deployment and monitoring.">
  • Proven experience with Deep Learning and NLP models.">
  • Strong data exploratory skills understand how to break down the data, extract insights, and determine utility within a broad range of business questions.">
  • Strong knowledge of commonly used ML/Optimization techniques (Classification, Regression, Clustering, Outlier identification) and statistical methodologies (Distributions, Hypothesis testing, Bayesian framework).">
  • Consolidated professional programming experience programming in Python, as well as with Spark and SQL, coupled with adeptness in utilizing prevalent Data Science and Machine Learning libraries.">
  • Experience working within Agile Frameworks (SCRUM/KABAN).">
  • The following qualities:">
    • ">
    • Inquisitive, with critical thinking, and demonstrate a genuine passion for consumer behavior.">
    • Enjoys actively looking for new and more efficient ways of improving processes, raising standards, reducing errors, and overcoming omissions.">
    • Is proactive, optimistic, and willing to get involved to achieve the team's goals and objectives.">
    • Is highly collaborative and adaptable with the ability to work effectively within different cultural and technical environments.">
    • Possesses outstanding communication and interpersonal skills in order to comfortably connect with partners at all levels across the organization and facilitates discussions in a constructive manner.">
    • The following, although not mandatory, will be appreciated:">
      • ">
      • Experience with Cloud Computing and storage, ETL, and experience with Big Data handling in Azure Databricks.">

      • Salary:

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        €120,000 per annum.

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