AI Engineer, Deloitte

AI Engineer, Deloitte

Company Deloitte
Job title AI Engineer
Job location Montreal, Quebec, Canada
Type Full Time

Responsibilities:

  • Design, develop, and implement API integrations with Gen AI technologies such as GPT, Gemini, and other relevant platforms to enhance business applications.
  • Provide technical expertise in AI concepts, including NLP, Deep learning, and LLMs. Ability to tune/train LLM Models and leverage techniques to optimize outputs for relevance, completeness, and quality.
  • Create evaluation frameworks to determine model accuracy.
  • Provide regular model accuracy reports.
  • Collaborate with product managers, data scientists, and software engineers to develop AI-driven solutions that meet business requirements.
  • Optimize the performance of AI models and integrations to ensure efficiency, scalability, and reliability.
  • Stay up-to-date with the latest advancements in AI technologies and recommend innovative solutions to improve existing systems.
  • Create and maintain comprehensive documentation for AI models, API integrations, and technical processes.
  • Identify and resolve technical issues related to AI integrations and model performance.
  • Provide training and support to internal teams on the use and implementation of AI technologies.
  • Ensure that Personal Information and security policies are respected when working with training data, if any.

Requirements & Skills:

  • Education: Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.
  • Experience: Minimum 2 years of experience in AI development
  • Proficiency in programming languages such as Python
  • Strong understanding of NLP, LLM concepts, and Gen AI models implementation, deployment, and evaluation.
  • Strong understanding of MLOPs concepts such as continuous training, continuous monitoring, and continuous improvements to machine learning and AI systems
  • Hands-on experience with Gen AI technologies such as GPT, Gemini, Claude, BERT, etc.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Certifications in AI/ML, cloud platforms, and related areas.
  • Experience with meta-learning, few-shot learning, or prompt engineering for LLMs
  • Knowledge of RESTful APIs and web services.
  • Experience with Agentic AI and designing and building solutions is also preferred
  • Have deployed Gen AI systems into production.

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