Remote Machine Learning Engineer (Mid)

Summary

Join our multidisciplinary team of Engineers, Data Scientists, and innovation management Experts as an R&D - Machine Learning /ML Engineer (Mid) in a fully remote opportunity. You will be part of driving innovation in software engineering, A.I., and data analytics to foster advances in key sectors such as banking, security, health, finance, creativity, and lifelong learning.

Requirements

• BSc degree in Computer Science, Mathematics or a similar field. An MSc degree will be highly appreciated
• Proven working experience, 3 to 5 years, on application development project(s)
• Good knowledge of mathematics, probability, statistics, and computational algorithms
• Proven experience and competence in software engineering and design
• Good understanding of data structures, data modeling, and software architectures
• Expertise in data analysis and visualization
• Proven experience in Python
• Familiarity with machine learning frameworks and libraries (e.g., PyTorch, TensorFlow, pandas, scikit-learn)
• Good knowledge of Git
• Experience with REST-API design and implementation

Responsibilities

• Technical Project Management (project’s effort allocation, task plan, projects' progress overview, participation in calls & meetings)
• Projects' Technical specification definition & Architecture Design (technical requirements definition, software architecture design, data flows definition)
• Apply Machine Learning algorithms and techniques, build and maintain end-to-end solutions
• Statistical analysis and fine-tuning using test results
• Collaborate with data scientists and software engineers to build and maintain data and model pipelines
• Provide solutions to any technical-related issues during a project’s lifecycle

Preferred Qualifications

• Experience in frameworks Django, FLASK or FastAPI
• Familiar with SQL databases
• Familiarisation with application containers (Docker) and general exposure to continuous integration processes and practices
• Familiarization with event-driven processes

Benefits

• Fully remote work setup
• Competitive salary
• Inclusive work environment & Well-being Program
• A clear induction program & a mentoring buddy to help you
• Private health insurance allowance