Machine Learning Engineer vois

6 months ago


مصر, Egypt Vodafone Full time

**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.
- Design, develop, test, deploy, maintain and improve software.
- Manage individual project priorities, deadlines and deliverables.
- 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.

_VOIS #movewithus



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