Machine Learning Engineer
NearSourceToronto, Ontario, Canada30+ days ago
Salary
CA$142,000.00 yearly
Job descriptionExperienced with Python and its libraries including NumPy Pandas and scikitlearn for data manipulation analysis and machine learning workflows. Experience in Natural Language Processing (NLP) to interpret and extract insights from various input sources such as LUCID diagrams API specifications and FIGMA designs. Competent in using AWS services such as EC2 S3 Lambda RDS and DynamoDB . Familiarity with Infrastructure as Code ( IaC ) tools like AWS CloudFormation or Terraform is essential for managing cloud environments efficiently Expertise in Machine Learning Frameworks Such as PyTorch and Hugging Faces Experience with Agentic Frameworks and RAG Workflows Extensive experience in designing and deploying applications powered by LLMs like GPT3 GPT4 or other transformerbased model
Become a Machine Learning Engineer for a multinational Fortune 500 project in Canada. Drive innovation and uphold high technological standards. Apply today to be a vital member of the dynamic team.
Responsibilities :
- Design implement and manage AWSbased cloud infrastructure ensuring scalability security and reliability.
- Utilize AWS services such as EC2 S3 Lambda RDS and DynamoDB for cloud operations.
- Implement Infrastructure as Code (IaC) using CloudFormation or Terraform to automate and streamline cloud resource management
- Develop and integrate machine learning models including those built on PyTorch and HuggingFace frameworks.
- Finetune and deploy Large Language Models (LLMs) like GPT3 GPT4 or similar transformerbased models for AIpowered applications.
- Implement deep learning models for AI code generation leveraging PyTorch for custom model development and experimentation.
- Create dynamic and responsive frontend components using JavaScript frameworks such as React or Vue.js.
- Design UIs that enable users to interact with AIdriven code generation features effectively.
- Apply NLP techniques to interpret and process input sources such as LUCID diagrams API specifications and FIGMA designs.
- Use NLP tools for text preprocessing entity recognition and other language modeling tasks to support accurate AI code generation
- Develop AI models with autonomous behavior by using agentic frameworks enabling the system to generate code automatically.
- Integrate RetrievalAugmented Generation (RAG) workflows to ensure models retrieve and utilize relevant information dynamically during code generation.
- Design prompt engineering strategies to optimize LLM interactions improving the accuracy and relevance of generated code outputs.
- Work on enhancing engineering productivity by developing an AIpowered platform for code generation.
Minimum Qualifications
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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
Remote Work :