Enterprise AI Solutions Developer

6 days ago

Toronto, Ontario, Canada SolveCo Solutions Full time

Job Title: Machine Learning Engineer

About the Role:

We are seeking a highly skilled Machine Learning Engineer to join our team at SolveCo Solutions. As a Machine Learning Engineer, you will play a key role in designing, developing, and deploying machine learning solutions to meet our business goals and drive innovation.

Key Responsibilities:

  • Translate business and functional needs into machine learning problem statements.
  • Design and develop scalable solutions that leverage machine learning and deep learning models to meet enterprise requirements.
  • Work closely with data scientists and data engineers to develop machine learning algorithms.
  • Collaborate with UX designers and product teams to improve the product user experience.
  • Translate algorithms to production-level code.
  • Collaborate with development teams.
  • Create metrics to continuously evaluate the performance.
  • Stay up-to-date with new tools, algorithms, and techniques in machine learning and implement them in the organization.

Requirements:

  • Bachelor's degree in data science, applied mathematics, computer science, or a related field; Master's degree preferred.
  • More than two years of experience in developing and deploying enterprise-scale machine learning solutions.
  • Experience training and deploying models using cloud-based infrastructure.
  • Proficiency in machine learning algorithms such as multi-class classifications, decision trees, support vector machines, and deep learning.
  • Strong understanding of probability and statistical models (generative and descriptive models).
  • Advanced programming skills in C/C++, Python, Java, or R.

About Us:

SolveCo Solutions is a leading provider of innovative solutions to the business world. We are committed to delivering high-quality technical workmanship and partnering with big-name brands across various industries. If you are a talented Machine Learning Engineer looking for a challenging role in a dynamic organization, we encourage you to apply.

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