AI / ML Engineer OR Data Scientist
6 days ago
, Canada
Veracity Software Inc
Full-time
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Overview
Role: AI / ML Engineer OR Data Scientist
Location:
Canada / USA
- Remote Long Term Contract Expi: 3+ years Qualifications Bachelor's degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience 3+ years of professional experience (or equivalent) in software engineering, AI/ML development (ideally including a Master's or Ph.
D. in Computer Science, ML, Data Science, or a related field) Practical experience and theoretical knowledge of language technologies such as: dialogue/conversational systems, NLP, and Information Retrieval Strong foundation in data structures, algorithms, and software engineering principles. Proficiency in Python and relevant deep learning frameworks; training (e.g. PyTorch, Tensorflow, JAX, Hugging Face Transformers/Adapters), serving (e.g., Hugging Face TGI//outlines, vLLM) Experience with LLM model development and deployment ideally including experience with model distillation, supervised fine-tuning using RLHF/DPO, and automatic prompt tuning (e.g. DSPy, TextGrad) Experience with cloud deployment of ML systems (e.g., AWS, GCP, Azure) including and open systems (e.g. Docker and Kubernetes) and associated ML services. Strong analytical and problem-solving skills Experience structuring and running data-backed experiments Strong written and verbal communication skills Seniority level Mid-Senior level Employment type Full-time Job function Other Industries IT Services and IT Consulting
Location:
Canada / USA
- Remote Long Term Contract Expi: 3+ years Qualifications Bachelor's degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience 3+ years of professional experience (or equivalent) in software engineering, AI/ML development (ideally including a Master's or Ph.
D. in Computer Science, ML, Data Science, or a related field) Practical experience and theoretical knowledge of language technologies such as: dialogue/conversational systems, NLP, and Information Retrieval Strong foundation in data structures, algorithms, and software engineering principles. Proficiency in Python and relevant deep learning frameworks; training (e.g. PyTorch, Tensorflow, JAX, Hugging Face Transformers/Adapters), serving (e.g., Hugging Face TGI//outlines, vLLM) Experience with LLM model development and deployment ideally including experience with model distillation, supervised fine-tuning using RLHF/DPO, and automatic prompt tuning (e.g. DSPy, TextGrad) Experience with cloud deployment of ML systems (e.g., AWS, GCP, Azure) including and open systems (e.g. Docker and Kubernetes) and associated ML services. Strong analytical and problem-solving skills Experience structuring and running data-backed experiments Strong written and verbal communication skills Seniority level Mid-Senior level Employment type Full-time Job function Other Industries IT Services and IT Consulting
