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Senior Machine Learning Engineer w full professional level of English
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Senior Machine Learn....
drjobs Senior Machine Learning Engineer w full professional level of English العربية

Senior Machine Learning Engineer w full professional level of English

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1 Vacancy
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Job Location

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Barcelona - Spain

Monthly Salary

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Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Req ID : 2477746

Are you interested in becoming a part of a worldleading company that places a strong emphasis on innovation and supports your professional growth

As a Senior ML Engineer you will play a crucial role in the design development and deployment of cuttingedge Machine Learning solutions. You will also have the opportunity to create stateoftheart data products and explore novel ML techniques that drive innovation.

Take the next exciting step and join us in our journey to transform the field of human capital management!

Tasks

  • Identify design develop & deploy advanced ML solutions
  • Contribute to enhancing the overall ML architecture infrastructure and data pipelines
  • Be responsible for crafting and implementing cuttingedge data products ML models and systems aimed at optimizing the user experience
  • Work closely with engineering and product teams within an Agile framework
  • Take the lead in defining and promoting best practices to create adaptable highperforming AI models and systems that continuously evolve and improve
  • Will act as a mentor to the more junior members of the team

Requirements

  • Hold a bachelors degree in Computer Science Engineering Mathematics or a related field or an equivalent qualification
  • Possess 6 years of experience honing and developing the relevant skills required for this role gained through work in a similar or related capacity
  • Have a high level of proficiency in Python data structures and algorithms and in deep learning frameworks like PyTorch
  • Experience with AWS cloud solutions like Lambda and SageMaker as well as expertise in CI/CD tools like Jenkins and nonrelational databases (NoSQL)
  • Exposure to platforms like Databricks MLflow and Jupyter notebooks

Benefits

  • Permanent contract

  • Competitive salary

  • Benefits package: health insurance life assurance and other interesting perks

  • Hybrid work model (mix of office & homebased)

  • Possibility to grow in an international company

  • Step 1: Interview with one of our Recruiters to get to know you better

  • Step 2: Phone call with HR

  • Step 3: Technical Interview with the companys Hiring Manager & Team

  • Step 4: Final interview

Employment Type

Full Time

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