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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