Become a Machine Learning Engineer for amultinational Fortune 500 project in Canada. Drive innovation anduphold high technological standards.
Apply today to be a vitalmember of the dynamicteam.
Responsibilities :
- Designimplement and manage AWSbased cloud infrastructure ensuringscalability security and reliability.
- UtilizeAWS services such as EC2 S3 Lambda RDS and DynamoDB for cloudoperations.
- Implement Infrastructure as Code(IaC) using CloudFormation or Terraform to automate and streamlinecloud resource management
- Develop and integratemachine learning models including those built on PyTorch andHuggingFace frameworks.
- Finetune and deployLarge Language Models (LLMs) like GPT3 GPT4 or similartransformerbased models for AIpoweredapplications.
- Implement deep learning modelsfor AI code generation leveraging PyTorch for custom modeldevelopment and experimentation.
- Create dynamicand responsive frontend components using JavaScript frameworks suchas React or Vue.js.
- Design UIs that enableusers to interact with AIdriven code generation featureseffectively.
- Apply NLP techniques to interpretand process input sources such as LUCID diagrams API specificationsand FIGMA designs.
- Use NLP tools fortext preprocessing entity recognition and other language modelingtasks to support accurate AI codegeneration
- Develop AI models with autonomousbehavior by using agentic frameworks enabling the system togenerate code automatically.
- IntegrateRetrievalAugmented Generation (RAG) workflows to ensure modelsretrieve and utilize relevant information dynamically during codegeneration.
- Design prompt engineeringstrategies to optimize LLM interactions improving the accuracy andrelevance of generated code outputs.
- Work onenhancing engineering productivity by developing an AIpoweredplatform for code generation.
MinimumQualifications
- Experiencedwith Python and its librariesincluding NumPy Pandas and scikitlearn for datamanipulation analysis and machine learningworkflows.
- Experience in NaturalLanguage Processing (NLP) to interpret and extract insights fromvarious input sources such as LUCID diagrams API specifications andFIGMA designs.
- Competent in using AWS services such as EC2 S3 Lambda RDS and DynamoDB .
- Familiaritywith Infrastructure as Code ( IaC )tools like AWS CloudFormation or Terraform is essential for managingcloud environmentsefficiently
- Expertise in MachineLearning Frameworks Such as PyTorch and HuggingFaces
- Experience with Agentic Frameworks and RAG Workflows
- Extensiveexperience in designing and deploying applications powered by LLMs like GPT3 GPT4 or other transformerbased model
APPLYNOW!
NearSourceTechnologies values diversity and is committed toequal opportunity. All qualified applicants will be consideredregardless of their race color religion sex sexual orientationgender identity national origin disability or status as protectedveterans
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