Aws Sagemaker
2 months ago
**Job Title: AWS_Sagemaker**
**Location: Toronto, ON (Hybrid)**
**Hire Type
- Contract**
AWS Sagemaker, GenAI, S3, ML models, Machine Learning.
**Responsibilities**:
- Must have 8+ years of experience.
- Develop and implement machine learning models and data science algorithms using Python.
- Utilize SQL for data manipulation and querying.
- Build and optimize ML models using XGBoost and other relevant tools.
- Work with AWS components such as Sage Maker and S3 for deploying and managing machine learning models.
- Develop and maintain Generative AI (GenAI) solutions, including Retrieval-Augmented Generation (RAG) models.
- Utilize AWS Bedrock, vector databases, and embedding techniques for advanced AI solutions.
- Collaborate with cross-functional teams to integrate machine learning solutions into production systems.
- Stay updated with the latest advancements in machine learning and AI technologies.
**Requirements**:
- Hands-on experience in machine learning and data science algorithms using Python.
- Proficiency in SQL.
- Strong knowledge and experience in building ML models using XGBoost, scikit-learn.
- Exposure to AWS components such as SageMaker and S3.
- Experience with Generative AI, including RAG models, AWS Bedrock, vector databases, and embedding techniques.
- Excellent problem-solving skills and attention to detail.
Strong communication and teamwork abilities
**Job Type**: Fixed term contract
Pay: $60.00-$70.00 per hour
**Benefits**:
- Dental care
- Extended health care
- Paid time off
Schedule:
- Monday to Friday
**Experience**:
- Machine learning: 10 years (preferred)
- Sagemaker: 6 years (preferred)
- Gen AI: 6 years (preferred)
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