AI Specialist – NLP, GenAI & Large Language Models - MB-009

Project type: Innovation
Desired discipline(s): Engineering - other, Engineering, Computer science, Mathematical Sciences, Languages and linguistics, Social Sciences & Humanities
Company: Traductions Serge Bélair Inc. (TRSB)
Project Length: 4 to 6 months
Preferred start date: As soon as possible.
Language requirement: English
Location(s): MB, Canada
No. of positions: 1
Desired education level: Master'sPhDPostdoctoral fellowRecent graduate
Open to applicants registered at an institution outside of Canada: No

About the company: 

TRSB is seeking a masters/PHD student with in-depth knowledge of LLMs and AI solution building. We are NOT looking for a research student to publish a paper, but rather an out-of-box thinker who likes to brainstorm, innovate and build AI solutions which can shape the future of content management. This role ensures that AI technologies are strategically selected, effectively integrated into existing systems, and consistently monitored for reliability and performance improvements. The AI Specialist will work closely with DevOps, engineering, and operations teams to design, implement, and optimize AI-powered solutions for content creation, transformation, and localization.

Describe the project.: 

Your daily routine:
• AI Engine Design: Design the AI solution that solves given business challenges or use cases.
• AI Deployment & Training: Select, fine-tune, and deploy LLMs for specific localization use cases, ensuring optimal performance and efficiency.
• Technology Selection: Assess and recommend AI technologies that best address given use cases and business requirements.
• Solution Integration: Collaborate with DevOPS team to ensure seamless integration of AI-powered workflows into existing systems (e.g., TMS), tools (e.g., CAT), and workflows.
• Reliability & Performance Monitoring: Develop methodologies to track AI system reliability and continuously enhance model performance.
• Collaboration with DevOps: Define infrastructure requirements, including hardware and software needs, to support AI solutions.
• Workflow Optimization: Work with stakeholders to refine and improve AI-driven workflows, maximizing automation and efficiency.

Required expertise/skills: 

• Ability to think out of box and design an intelligent system using different AI tools.
• Experience with AI frameworks: TensorFlow, PyTorch, Hugging Face, Azure, OpenAI API, or similar AI toolkits.
• Understanding of AI ethics and bias mitigation strategies.
• Localization and/or content management industry knowledge.
• Extensive expertise with Python, fastAPI.
• Solid experience in how to use/roll out LLMs on in-house systems or the cloud.
• Ability to use ChatGPT, Cursor and any other AI tools to make them more productive.
• Knowledge of various databases (e.g., SQL, No-SQL, Vector DBs).
• Familiarity with a cloud provider (AWS, Azure or GCP).