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Base City: 

Remote-Canada - Remote

Salary: 

No Salary therefore no Star!

Rating: 

Self-taught: 

Position Type: 

Full-time

Position Keywords: 

Required: 

Bachelor - Computer Science

Experience: 

3 Years AI

Other Experience: 

  • Related degree(s) in Science, Mathematics, or a related field.
  • 3+ years of experience in developing and deploying AI-based solutions.
  • Strong fundamentals of machine learning algorithms used in NLP and NLU, such as regression, decision trees, random forests, ensembling, neural network.
  • Working experience in latest NLU technologies/techniques such as LSTM, BERT and Transformer.
  • Experience in commercial LLMs and multi-modal AI systems such as OpenAI API, Rev AI and Stability AI.
  • Knowledge of LLM libraries such as LlamaIndex, LangChain and Pinecone.
  • Knowledge of ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
  • Hands-on experience in integrating AI systems with existing applications.
  • Programming skills in Python, Java, or any other programming language.
  • Knowledge of software development methodologies, including Agile and DevOps.
  • Experience in designing and implementing scalable, high-performance, and robust systems.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration skills.

About the Job: 

We are seeking an experienced Data Scientist (NLU, LLM) to join our team to develop and implement AI-based prototypes and solutions. The candidate should have hands-on experience in integrating AI systems with existing applications and developing new AI-enabled solutions. The Data Scientist will be responsible for designing, prototyping and implementing high-performance and robust AI systems with our team of product managers and engineers.

What they want you to do: 

  • Collaborate with the team to design, experiment and deploy AI-based solutions.
  • Develop and maintain integrations with the existing Ed Tech platform and services.
  • Evaluate performance of models and applications.
  • Assist in implementing and/or integrating AI models in a development environment.
  • Design and implement data models and data storage systems that are optimized for AI solutions.
  • Collaborate with stakeholders to identify opportunities for AI solutions to improve business processes.
  • Continuously research and evaluate new AI technologies and techniques to enhance our offerings.

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