Junior Machine Learning Engineer Job at Fülhaus

Fülhaus Remote

About us

We’re Fülhaus, the leading interior design and furnishing service for hotels, short-term rentals, and homes worldwide. Specifically we provide turn-key services for our clients, a one stop designing and furnishing service.

We're a fast-paced, innovative and rewarding company, and our goal is to fulfill this new role with an experienced individual.

Our work environment includes but is not limited to:

  • Growth opportunities
  • Flexible working hours
  • Modern office setting
  • Health Plan
  • Dental & Vision Care
  • Tele-medicine
  • Vacation available the first year
  • Remote work

As a Junior Machine Learning Engineer, your responsibilities will be as follows:

  • Work with data scientists and other web developers to develop, test, and deploy machine learning models
  • Write clean and efficient code for machine learning tasks, such as data preprocessing, model training, and evaluation
  • Participate in the entire machine learning workflow, from data collection and preparation to model deployment and maintenance
  • Continuously monitor and improve model performance through testing and experimentation
  • Stay up-to-date with the latest machine learning techniques and technologies
  • Communicate with stakeholders to understand their needs and provide solutions accordingly
  • Understand the business domain and be able to translate the data into a solution that solves the problem
  • Collaborate with cross-functional teams and contribute to the design and development of new features

Skills and Prerequisites

  • Required to have a degree in computer science, mathematics, or a related field
  • 1-2 years experience in machine learning and knowledge of programming languages such as Python and machine learning libraries such as TensorFlow, and PyTorch.
  • 1 -2 years experience with data preprocessing and cleaning, feature engineering, model selection and evaluation.
  • Familiarity with a variety of machine learning techniques such as supervised and unsupervised learning, deep learning, and reinforcement learning
  • Strong understanding of statistical concepts such as probability, statistics, and linear algebra
  • Knowledge of software engineering best practices, such as version control, code review, and testing
  • Familiarity with cloud-based services such as AWS, GCP, Azure for deploying models
  • Good communication and collaboration skills, as well as the ability to explain complex technical concepts to non-technical stakeholders
  • Strong problem-solving skills and the ability to think creatively to find solutions to difficult challenges.
  • Must be a student or work permit holder or Resident within Canada

Some good to haves

  • Familiarity with object-detection model
  • Working knowledge of Flask, FAST APIs
  • Some DevOps experience will be an asset

Job Type: Full-time

Salary: $67,422.82-$144,365.98 per year

Flexible Language Requirement:

  • French not required

Schedule:

  • Monday to Friday

Experience:

  • Machine learning: 1 year (preferred)

Work Location: Remote




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