Data scientist AI Engineer

ExcelGens, Inc.

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profile Job Location:

Calgary - Canada

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary


Role : Data Scientist / Al Engineer Gen Al Implementation
Contract duration: 3 months with possibility of extension.

Work location & Work model : Calgary (Hybri)


Data Scientist/Al Engineer Gen Al implementation (Experience: 2 years)

  • Excellent understanding of software engineering principles (encapsulation and abstraction design patterns asynchronous programming) with strong proficiency in python for backend development
  • Experience using Natural Language Processing (NLP) libraries and framework preferably LangChain and LangGraph Experience working with version control systems such as Git deploying cloud-based application and developing using Object
  • elation Mapping frameworks

Education

  • Bachelors degree in computer science or Software Engineering

Requirements

  • Excellent understanding of software engineering principles (encapsulation and abstraction design patterns asynchronous programming) with strong proficiency in python for backend development.
  • Experience implementing RAG and/or knowledge graph solutions on unstructured data.
    Worked with version control systems such as Git deploying cloud-based application and developing using Object Relation
    Mapping frameworks.

Preferred extras

  • Experience developing chatbot and conversational Al.
  • Experience working with NLP libraries and framework preferably LangChain and LangGraph.
  • Frontend development experience using React using Typescript and Next JS.
  • Experience with Typescript and Next JS.
Role : Data Scientist / Al Engineer Gen Al Implementation Contract duration: 3 months with possibility of extension. Work location & Work model : Calgary (Hybri) Data Scientist/Al Engineer Gen Al implementation (Experience: 2 years) Excellent understanding of software engineering princip...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala