Veracity Software Inc
AI / ML Engineer OR Data Scientist
Veracity Software Inc, Woodbridge, New Jersey, United States
Overview
Role: AI / ML Engineer OR Data Scientist Location: Canada / USA - Remote Engagement: Long Term Contract Experience: 3+ years Education: Bachelor's degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience Qualifications
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
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Role: AI / ML Engineer OR Data Scientist Location: Canada / USA - Remote Engagement: Long Term Contract Experience: 3+ years Education: Bachelor's degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience Qualifications
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
#J-18808-Ljbffr