Applied Machine Learning Developer, Intermediate

📋 Description

• Create, develop, and implement production-level machine learning systems that can manage intricate, real-world data streams.

• Convert vague challenges into dependable, scalable solutions while participating in technical decisions throughout the ML stack.

• Comfortable navigating uncertain environments, capable of transforming product requirements into detailed, end-to-end technical solutions with minimal oversight.

⛳️ Requirements

• Around 4 years of experience in applied machine learning, data engineering, or ML backend systems.

• Strong expertise in Python and experience in deploying systems to production (beyond research or prototyping).

• Proficient in at least one of the following areas: Natural Language Processing (NLP), Information Extraction, Search or Retrieval systems, or Data pipeline development.

• Proven ability to work independently and take ownership of technical solutions; adept at handling ambiguous challenges and producing concrete results.

• Familiarity with backend systems and API design; experience in cross-functional collaboration with product and engineering teams.

🏝️ Benefits

• Flexibility: Our adaptable 35-hour workweek enables you to manage your schedule to meet personal needs while remaining fully engaged in your work.

• A minimum of 5 weeks of vacation, irrespective of years of experience.

• A comprehensive range of generous benefits, including an Employee Assistance Program (EAP), an RRSP (registered retirement savings plan), and group insurance covering life insurance, prescription drugs, vision, dental, travel, and more.

• An annual budget allocated for continuous professional development.