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Data Science Leader

7 days ago

London, Ontario, Canada Applied Textiles, Inc. Full time

**About Us**

Applied Textiles, Inc. is a leading innovator in the field of applied machine learning. We are committed to pushing the boundaries of what is possible and delivering cutting-edge solutions to real-world problems.


**Job Description**

We are seeking an exceptional Senior Applied Machine Learning Scientist to join our team. As a key member of our research group, you will be responsible for driving the development of new AI models and technologies that can be used to solve complex business problems.


**Responsibilities**

  • Develop and implement end-to-end machine learning pipelines to drive business results
  • Collaborate with cross-functional teams to identify business opportunities and develop strategies for applying AI
  • Mentor junior team members and contribute to the growth and development of our research group
  • Stay up-to-date with the latest advancements in AI and ML and apply this knowledge to drive innovation and improvement within our organization
  • Elevate and communicate technical ideas to both technical and non-technical stakeholders


**Requirements**

  • PhD in Computer Science, Engineering, or related field or Master's/Bachelor's with comparable experience
  • Strong proficiency in Python and relevant programming languages
  • At least 5+ years of practical experience building AI/ML products and applications (7+ years for Master's or 10+ years for Bachelor's)
  • Experience as a technical leader, leading aspects of ideation, software engineering, data engineering, and research and development
  • Familiarity with common NLP use cases such as chatbot development and information retrieval (RAG), language translation, NER, summarization, and topic modeling
  • Experience with LLM training and efficient finetuning (PEFT, LoRA, Quantization)
  • Experience in using Cloud solutions (AWS, Azure, etc.) for building and deploying data science solutions
  • Demonstrated ability to translate cutting-edge research into working prototypes
  • Experience in fast-paced, agile environments managing uncertainty and ambiguity
  • Outstanding communication and data-driven decision-making collaboration with Product + Business Stakeholders
  • Diverse experiences across problem spaces, companies, and cultures