Machine Learning Engineer

22 hours ago

Toronto, Ontario, Canada NearSource Full time
About NearSource Technologies

We're a forward-thinking company driving innovation in data-driven decision-making across our digital platform.

Job Summary

This is a unique opportunity to contribute to impactful machine learning initiatives as part of a collaborative team.

Compensation and Benefits

$120,000 - $160,000 per year, depending on experience. We offer a comprehensive benefits package, including health insurance, 401(k) matching, and flexible work arrangements.

Job Responsibilities
  • Data Pipeline Development: Collaborate with engineers to build efficient data pipelines and architectures, incorporating MLOps best practices for large language models.
  • Data Handling and Processing: Support data collection, analysis, content understanding, storage, and processing tasks.
  • Model Development: Write code for training, testing, and deploying machine learning models.
  • Model Monitoring: Monitor and troubleshoot machine learning models to maintain accuracy and performance.
  • Requirements Analysis: Perform requirements analysis, collaborate with team members, and document solutions.
  • Data Management: Work with large-scale data sets and manage data flow between systems.
  • Batch Data Processing: Organize and process large batches of text and geometric data.
  • Data Insights and Visualization: Communicate findings through quantitative analysis, visuals, and actionable insights.
Required Skills and Qualifications
  • Educational Background: MS in Machine Learning, Artificial Intelligence, Mathematics, Statistics, Computer Science, or a related field.
  • Experience: 5 years of experience in machine learning engineering or a related field.
  • Deep Learning Expertise: Hands-on experience with training deep neural networks (e.g., CNNs, transformers) and proficiency with at least one deep learning framework such as PyTorch or TensorFlow.
  • LLM Knowledge: Experience with large language models (LLMs), embedding models, vector databases, and Retrieval-Augmented Generation (RAG) systems.
  • Data Modeling & Processing: Experience with data modeling, architecture, and processing, including handling 2D/3D geometric data.
  • Cloud & Platform Proficiency: Proficiency in AWS cloud services, including SageMaker Studio, for scalable data processing and model development.
  • Algorithm Understanding: Strong understanding of fundamental computer science algorithms and their scalability.
  • Programming Skills: Proficient in coding, covering both procedural and data-analytics-oriented languages (like Python).
  • Solution-Oriented Mindset: Ability to convert theoretical concepts into practical, prototype-ready solutions.
Diversity and Inclusion

NearSource Technologies values diversity and is committed to equal opportunity. All qualified applicants will be considered regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as protected veterans.

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