Hiring.Camp

AI Solutions Specialist | NLP, GenAI & LLM | AI Automation & Translation | 100% remote (Canadian-based) | $100,000 - $140,000

White Bay

·
Salary
$100k – $140k
Workplace
Remote
Department
Engineering
Seniority
Lead
Experience
3+ years
Source
Loxo

Description

AI Solutions Specialist | NLP, GenAI & LLM | AI Automation & Translation | 100% remote (Canadian-based) | $100,000 - $140,000


The Company

They are a recognised leader in multilingual technology and content services, bringing together over 250 experts across operations, engineering, and product innovation. Their focus is on building next-generation solutions at the intersection of AI and language, enabling organisations to communicate seamlessly on a global scale.


The Role

They are seeking an AI Solutions Specialist who will be responsible for shaping technical solutions that solve complex business challenges through machine learning and natural language processing. Understanding the AI landscape, you will use your knowledge to consult on tools, technologies and platforms, while collaborating with multi-disciplinary teams, to help bring AI products from ideation through to delivery. Although this role does not require coding skills, it does require extensive technology knowledge in the AI space.


The Responsibilities

  • 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 localisation 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: Assist in defining infrastructure requirements, including hardware and software needs, to support AI solutions.
  • Workflow Optimisation: Work with stakeholders to refine and improve AI-driven workflows, maximising automation and efficiency.
  • User Story & Requirement Definition: Document technical requirements and user stories to guide engineering teams in solution development.


The Requirements

  • AI & NLP Expertise: 3+ years of experience in NLP working with LLMs, machine translation, and AI-driven solutions.
  • Machine Learning: Strong understanding of machine learning operations to establish and manage machine learning pipelines for each use case.
  • Technical Background: Strong understanding of AI model training, fine-tuning, and deployment methodologies.
  • AI Model Evaluation: Experience in setting up and evaluating AI models to ensure continued performance up to the standards.
  • Integration Experience: Hands-on experience in integrating AI solutions with existing platforms via APIs and automation scripts.
  • Data & Performance Analysis: Ability to analyse model performance, optimise datasets, and implement continuous improvements.
  • Collaboration & Communication: Strong ability to work cross-functionally with technical and non-technical teams to define and execute AI strategies.
  • Problem-Solving Skills: Proficiency in troubleshooting AI-related challenges and optimising performance for scalability.


Why Apply

This role places you at the cutting edge of AI and language services, allowing you to influence how global organisations manage content and translation workflows. You’ll join a dynamic team working with state-of-the-art tools, backed by a supportive culture and strong benefits package. Employees enjoy competitive compensation, comprehensive insurance, retirement savings plans, flexible work arrangements, wellness perks, and even paid time off to celebrate their birthday. If you are passionate about building AI systems that reshape how enterprises handle global content, they encourage you to apply today.


#welcometowhitebay #brendangreenway

Skills

Machine LearningNLPDevOps

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