Senior Machine Learning Engineer

Toronto - Canada

Monthly Salary: Not Disclosed

Posted on: 20 hours ago

Vacancies: 1 Vacancy

Job Summary

Senior Machine Learning Engineer - contract

Our client is a leading software consulting company. They are seeking a Senior Machine Learning Engineer to join their team. You will design and implement advanced machine learning solutions with a focus on LLM development Snowflake integration and AWS deployment. This role requires strong technical expertise handson coding ability and the ability to collaborate with crossfunctional teams to deliver scalable productionready solutions.

Key Responsibilities

LLM Development: Architect train and finetune large language models for enterprise use cases.
Data Integration: Build pipelines to connect Snowflake and other data sources to ML workflows.
Model Deployment: Implement and optimize ML models in AWS environments ensuring scalability and reliability.
Application Development: Collaborate with product teams to design solutions that enable talk to data functionality and other intelligent applications.
Code Quality: Write modular reusable Python code with strong testing and documentation practices.
Performance Optimization: Monitor and improve model accuracy latency and resource utilization.
Collaboration: Partner with data engineers cloud architects and client stakeholders to align technical solutions with business needs.
Innovation: Stay current with emerging ML/AI frameworks tools and best practices to enhance solution design.

Required Skills & Experience

Strong proficiency in Python for ML/AI development.
Handson experience with Snowflake for data integration and analytics.
Proven track record in LLM development (training finetuning deployment).
Expertise in AWS services (SageMaker Lambda EC2 S3 etc.) for ML workflows.
5 years of experience in machine learning engineering or applied AI roles.
Ability to work independently and lead technical initiatives in client environments.

Nice to Have

Prior experience building LLMpowered applications especially talk to data solutions.
Familiarity with modern ML frameworks (PyTorch TensorFlow Hugging Face).
Experience in consulting or clientfacing technical roles.

Required Experience:

Senior IC

Senior Machine Learning Engineer - contractOur client is a leading software consulting company. They are seeking a Senior Machine Learning Engineer to join their team. You will design and implement advanced machine learning solutions with a focus on LLM development Snowflake integration and AWS depl...

Key Responsibilities

LLM Development: Architect train and finetune large language models for enterprise use cases.
Data Integration: Build pipelines to connect Snowflake and other data sources to ML workflows.
Model Deployment: Implement and optimize ML models in AWS environments ensuring scalability and reliability.
Application Development: Collaborate with product teams to design solutions that enable talk to data functionality and other intelligent applications.
Code Quality: Write modular reusable Python code with strong testing and documentation practices.
Performance Optimization: Monitor and improve model accuracy latency and resource utilization.
Collaboration: Partner with data engineers cloud architects and client stakeholders to align technical solutions with business needs.
Innovation: Stay current with emerging ML/AI frameworks tools and best practices to enhance solution design.

Required Skills & Experience

Strong proficiency in Python for ML/AI development.
Handson experience with Snowflake for data integration and analytics.
Proven track record in LLM development (training finetuning deployment).
Expertise in AWS services (SageMaker Lambda EC2 S3 etc.) for ML workflows.
5 years of experience in machine learning engineering or applied AI roles.
Ability to work independently and lead technical initiatives in client environments.

Nice to Have

Prior experience building LLMpowered applications especially talk to data solutions.
Familiarity with modern ML frameworks (PyTorch TensorFlow Hugging Face).
Experience in consulting or clientfacing technical roles.

Required Experience:

Senior IC