Overview
On Site
$130,000 - $140,000
Full Time
Skills
API
Amazon EC2
Amazon S3
Amazon Web Services
Database
Large Language Models (LLMs)
NoSQL
Generative Artificial Intelligence (AI)
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Orchestration
Docker
PyTorch
Python
Job Details
Job Responsibilities
- Proven experience developing and deploying ML models in Python.
- Strong proficiency with AWS Cloud Services, including SageMaker, Bedrock, Lambda, EC2, S3, and API Gateway.
- Solid understanding of data science techniques: data preprocessing, feature engineering, model training, and evaluation.
- Familiarity with AWS Bedrock for LLM-based and generative AI solutions.
- Experience using or integrating AWS Q for development, documentation, and knowledge automation.
- Working knowledge of ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Strong problem-solving, analytical, and communication skills.
Preferred Qualifications:
- Experience with MLOps pipelines and CI/CD on AWS.
- Exposure to large language models (LLMs) or generative AI applications.
- Familiarity with containerization (Docker) and orchestration (ECS, EKS).
- Experience with data visualization tools and SQL/NoSQL databases.
Education:
- Bachelor s or Master s degree in Computer Science, Data Science, Machine Learning, or a related field.
GlobalLogic estimates the starting pay range for this role to be performed in Toronto, ON is $130,000 CAD to_$140,000 CAD, and reflects base salary only. This pay range is provided as a good faith estimate and the amount offered may be higher or lower. GlobalLogic takes many factors into consideration in making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.