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Machine Learning Engineer

1 month ago

Toronto, Ontario, Canada Unreal Gigs Full time
Unlock the Power of Machine Learning with Unreal Gigs

Are you ready to revolutionize the way businesses make decisions with cutting-edge machine learning solutions? Do you have a passion for designing and developing intelligent systems that drive innovation and growth? If so, we invite you to join our team of talented Machine Learning Engineers at Unreal Gigs.

About the Role

We are seeking a highly skilled Machine Learning Engineer to join our team and contribute to the development of scalable, high-performance machine learning models that drive business value. As a Machine Learning Engineer at Unreal Gigs, you will work closely with our data scientists, software engineers, and product managers to build and deploy machine learning solutions that power intelligent applications and services.

Key Responsibilities
  1. Design and Develop Machine Learning Models
  • Develop and deploy machine learning models using algorithms such as regression, classification, clustering, and deep learning.
  • Work with large datasets to train models that solve real-world problems like prediction, recommendation, and automation.
Model Training and Hyperparameter Tuning
  • Experiment with different model architectures and optimize hyperparameters to improve model accuracy and efficiency.
  • Apply cross-validation, regularization, and other techniques to ensure high-performing models.
Data Processing and Feature Engineering
  • Collaborate with data engineers and scientists to preprocess, clean, and transform large datasets into formats that are suitable for machine learning.
  • Perform feature engineering to extract meaningful features that enhance model performance.
Deploy Models into Production
  • Implement machine learning models in production environments, ensuring that they are scalable, reliable, and efficient.
  • Work with cloud platforms and DevOps teams to deploy models using technologies like Docker, Kubernetes, and CI/CD pipelines.
Monitor and Improve Model Performance
  • Continuously monitor model performance in production, detecting issues such as model drift or degradation.
  • Retrain and optimize models as needed, ensuring that they remain accurate and relevant over time.
Collaborate with Cross-Functional Teams
  • Work closely with software developers, product managers, and data scientists to integrate machine learning models into products and services.
  • Ensure that AI solutions meet business objectives and deliver measurable value.
Stay Current with AI and Machine Learning Trends
  • Keep up-to-date with the latest developments in machine learning, deep learning, and AI.
  • Explore new algorithms, tools, and techniques to continuously improve the machine learning solutions you develop.
Requirements

To be successful in this role, you will need:

  • Machine Learning Expertise: Strong knowledge of machine learning algorithms, including supervised and unsupervised learning techniques.
  • Programming and Software Development: Proficiency in programming languages such as Python, R, or Scala, with experience writing production-level code.
  • Data Engineering and Feature Engineering: Hands-on experience with data preprocessing, feature selection, and engineering.
  • Model Deployment and DevOps: Experience deploying machine learning models into production using cloud platforms (AWS, GCP, Azure) and containerization tools like Docker.
  • Collaboration and Communication: Excellent collaboration skills, with the ability to work closely with cross-functional teams to translate business requirements into machine learning solutions.
What We Offer

At Unreal Gigs, we offer a competitive compensation package, comprehensive benefits, and opportunities for professional growth and development. If you are passionate about machine learning and want to join a team of innovators, apply now to become a Machine Learning Engineer at Unreal Gigs.