Machine Learning Tech Lead - Remote

Overview

As the Lead ML Engineer, you will work closely with operations and data engineering teams to drive the success of machine learning projects while aligning them with organizational goals. Your leadership and technical acumen will play a pivotal role in scaling our ML solutions and ensuring their robustness, efficiency, and business impact.

In Short

• Oversee the end-to-end development, deployment, and optimization of machine learning models and algorithms.
• Ensure the team's DevOps best practices and improve the automation of our processes.
• Lead, mentor, and manage a team of ML engineers, providing technical guidance and fostering a collaborative team culture.
• Collaborate with cross-functional teams to integrate ML models into the company’s architecture and workflows.
• Design and implement scalable machine learning pipelines and systems for production.
• Ensure the reliability, scalability, and efficiency of deployed models through regular monitoring and performance tuning.
• Stay updated with industry trends, tools, and best practices to continuously improve the ML workflow.
• Create technical documentation, code reviews, and ensure adherence to best practices.

Requirements

• Minimum 5 years of professional experience in developing, deploying, and managing machine learning models in production.
• Initial experience in management/leading teams is required.
• This role is 50% leading & 50% Technical (Hands on).
• Proficiency in Python and its ML libraries/frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Solid understanding of machine learning algorithms, data preprocessing techniques, and model evaluation metrics.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and ML deployment frameworks (e.g., MLflow, Kubeflow).
• Familiarity with data engineering workflows and tools (e.g., Spark, Airflow).
• Good knowledge of DataBricks would be a plus.
• Proven track record of managing and mentoring engineering teams.
• Excellent communication skills and fluency in English & French.

Benefits

• Flexible working environment.
• Volunteer time off.
• LinkedIn Learning.
• Employee-Assistance-Program (EAP).