AWS Sagemaker for Toronto, ON || ONSITE ROLE

4 weeks ago

Toronto, United States TekShapers Full time

AWS Sagemaker

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.

Tekshapers is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

AWS Sagemaker for Toronto, ON || ONSITE ROLE

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