Machine Learning Engineer (VOIS)

Role Purpose:

The Junior ML Engineer is a core member of the agile teams facilitating trained ML models to deliver E2E solutions as a final product that fulfill the COE automation target. The junior machine Learning Engineer job is to mainly develop and design machine learning pipeline / integrations using different machine learning platforms and his software engineering / cloud skills.

Key accountabilities and decision ownership:

  • Develop solutions for real world, large scale problems

  • Develop, test, deploy, maintain and improve software

  • Create and maintain ML pipeline and workflows

  • Develop and deploy integrations/APIs on cloud

Core competencies, knowledge and experience:

  • Bachelor Degree in computer science and/or engineering or equivalent with 0-3 years of relevant experience

  • Working in international, distributed teams

  • Experience of working on projects that span multi-disciplinary areas of differing size and complexity to meet business expectations and deliver results

  • Confident and able to liaise and influence at all levels within Vodafone and/or relevant customer organizations

  • Able to communicate effectively across organizational, technical and political boundaries, understanding the context

Must have technical / professional qualifications:

  • Computer Science fundamentals in object-oriented design, data structures, algorithms and complexity analysis

  • Proficiency in Python

  • Information Retrieval

  • Data Mining

  • Natural language Programming

  • Machine Learning

  • Python Data Science stack (NLTK, Pandas, Numpy)

  • Proficiency in HTML, Javascript, CSS and general Web 2.0 techniques

  • Experience taking a leading role in building complex software systems that have been successfully delivered to customers

  • Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations

  • Experience with GCP and/or AWS products

  • Hands-on Experience with Sklearn, Tensor Flow

  • Experience with Django/ Flask

  • Familiarity with react js

  • RESTful API

  • Familiarity with docker and kubernetes

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