ML/AI Engineer

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  • Location: Toronto, ON
  • Type: Contract
  • Job #2526

AI / ML Engineer
Remote
Contract

We are seeking a dedicated ML/AI engineer to join our data analytics team. You will work as part of a diverse team of data experts, from data engineer, analytics engineer to business data analysts and to solve real-world problems and change the future by developing and applying new artificial intelligence models and algorithms.

As an artificial intelligence engineer, you will be expected to have a keen interest in artificial intelligence, machine learning, and staying updated with the latest developments in a rapidly changing field. Your duties will include collecting and analyzing data sets to identify patterns and develop predictive algorithmic models.

AI/ML Ops Establishment:

  • Lead the implementation of AI/ML ops processes and infrastructure, with a focus on Databricks and Azure.
  • Design and implement continuous integration/delivery (CI/CD) pipelines for seamless model deployment and monitoring.
  • Implement and manage version control systems (e.g., Git) for ML/AI codebase.
  • Optimize model performance through parameter tuning, ensemble methods, and regularization techniques.

LLMs and Deep Learning:
 

  • Specialize in developing and deploying Large Language Models (LLMs) for natural language processing tasks.
  • Implement and fine-tune deep learning models, including neural networks and recurrent neural networks (RNNs), for complex business use cases.
  • Apply transfer learning techniques to leverage pre-trained models and adapt them to specific applications.

Technical Expertise:
 

  • Expertise in leveraging Databricks for ML/AI workflows, including feature engineering, model training, and hyperparameter optimization.
  • Proficient in PyTorch or TensorFlow for developing, training, and deploying deep learning models.
  • Familiarity with containerization tools (e.g., Docker) and orchestration frameworks (e.g., Kubernetes) for scalable and efficient model deployment.

Collaboration and Communication:
 

  • Collaborate closely with data scientists, engineers, and cross-functional teams to understand business requirements and deliver advanced AI solutions.
    Effectively communicate complex technical concepts to non-technical stakeholders.

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Documentation and Reporting:

  • Create and maintain comprehensive documentation for AI/ML models, algorithms, and workflows.
  • Generate detailed reports on the performance, interpretability, and explainability of deployed models.

Qualifications:
 

  • Master's or PhD in Computer Science, Machine Learning, or a related field.
    Strong academic background with coursework and projects demonstrating expertise in AI/ML ops, LLMs, and deep learning.

Preferred Skills:
 

  • In-depth knowledge of Databricks MLflow and Azure Machine Learning for end-to-end ML/AI lifecycle management.
  • Hands-on experience with transformer-based models such as BERT, GPT, or XLNet.
  • Expertise in deploying models at scale using cloud-based services.
  • Proficiency in implementing and fine-tuning deep learning models with state-of-the-art frameworks.

Strong programming skills in Python, R, or Scala.

 

Submit Your Application

Attach a resume file. Accepted file types are DOC, DOCX, PDF, HTML, and TXT.

We are uploading your application. It may take a few moments to read your resume. Please wait!

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