Mid-Level Machine Learning Engineer - Remote

Overview

We are looking for a highly motivated Mid-level Machine Learning (ML) Engineer to join our growing AI Center of Excellence, responsible for using machine learning to drive innovation across the organization.

In Short

• Leverage data to solve business problems of various business units at EcoVadis
• Experiment, deploy and maintain ML models by ensuring scalability and speed
• Design ML pipelines by applying the best practices in MLOps
• Build ML engineering infrastructure and systems to orchestrate batch and real-time pipelines
• Partner with scientists and engineers to make ML models accessible to end-users and downstream processes
• Leverage Python, MLflow, Azure stack and Databricks to deliver end-to-end solutions

Requirements

• Degree in Computer Science, Mathematics, Engineering, or a related technical discipline
• Strong programming skills in Python as well as related ML libraries
• Industry experience on production-grade end to end ML projects (2 years)
• Knowledge of machine learning lifecycle, principles, and MLOps tooling (e.g. MLFlow, Kubeflow)
• Experience with REST API for ML model serving
• Understanding of software engineering best practices across the development lifecycle
• Familiarity with cloud technology, preferably Azure
• Experience with docker and container orchestration

Benefits

• Support with all the necessary office and IT equipment
• Flexible working hours
• Wellness allowance for mental and physical wellbeing
• Access to professional mental health support
• Referral bonus policy
• Learning and development
• Sustainability events and community involvement
• Peer recognition program
• Employee-led resource groups
• Hybrid work organization (from the office or from home)
• Remote work from abroad policy
• Meals and Transportation Vouchers (Cobee card)
• Dental Benefits
• Life & Accident Insurance + Private Health Insurance
• Paid employee volunteer day
• Paid moving day (1/year)
• Time off: 1 Community Service Day + 1 Personal Day
• Summer Hours in July and August (36 hours per week)
• Hybrid Monthly Allowance for electricity and Internet