EXUS is hiring a
ML Engineer (Mid)

Summary

The job is for an R&D - ML Engineer (Mid) / Horizon Project Technical Leader at EXUS AI Labs. The role involves technical project management, defining and designing technical specifications, applying machine learning algorithms, statistical analysis, collaborating with data scientists and software engineers, and providing solutions to technical issues during a project's lifecycle. The job is fully remote.

Requirements

• BSc degree in Computer Science, Mathematics or a similar field
• 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
• Familiarity with SQL databases
• Familiarization 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