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.
• 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.
• 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
• 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.