Senior Machine Learning Engineer

New
D
DatatonicAI & Data
CanadaFull-TimeSenior
Salary not disclosed
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Job Details

Experience
Multiple years experience
Required Skills
AWSPythonSQLFlaskGCPMachine LearningAzureData engineeringData scienceMLOpsGenerative AI

Requirements

  • Multiple years experience as a Machine Learning Engineer
  • Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines
  • Familiarity with cloud platforms such as Google Cloud, AWS, or Azure
  • Hands-on experience with foundational software engineering practices
  • Strong knowledge of SQL for querying and managing data
  • Experience scaling computations using GPUs or distributed computing systems
  • Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python)
  • Strong communication and presentation skills to effectively convey technical concepts
  • Strong ML & Data Science fundamentals
  • Excellent communication and consulting skills

Responsibilities

  • Engineer beautiful code in Python, focusing on high-quality engineering and best practices in production software as well as rapid prototypes
  • Lead projects and take an active role in leading client discussions
  • Build trusted relationships with prospects
  • Find creative ways to use machine learning to solve problems
  • Scope projects and oversee the delivery of engagements
  • Interpret vague requirements and develop models to solve real-world problems
  • Conduct ML experiments using programming languages with machine learning libraries
  • Leverage generative AI to develop innovative solutions
  • Optimise machine learning solutions for performance and scalability
  • Implement tailored machine learning code to meet specific needs
  • Ensure efficient data flow between databases and backend systems
  • Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage (MLOps)
  • Create machine learning architectures using Google Cloud tools and services
  • Build and deploy production-grade software for machine learning and data-driven solutions
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