Sia Partners

Sia Partners

Generative AI Consultant

Montréal, QC, Canada

Sponsorship not specifiedDetected 16 days ago
PythonReactElasticsearchVector DatabasesAWSGCPAzureCloud PlatformsDockerCI/CDMachine LearningDeep LearningTensorFlowPyTorchData ScienceNLPComputer VisionLLMsRAGAgentic AIMLOpsLangGraphComplianceResearch

About the role

  • Note: La langue de travail pour ce poste est l'anglais.
  • Une description du poste en français est disponible à la fin de cette offre.
  • Sia is a next-generation, global management consulting group.

Responsibilities

  • LLM/GenAI System Development: Design, build, train, fine-tune, and deploy sophisticated AI models leveraging LLMs (e.g., GPT-x, Claude, Gemini, Llama, Mistral) and other generative techniques.
  • Assist in Solution Architecture: Support the GenAI Solution Architect in designing robust, scalable, and secure applications.
  • Application Development: Develop applications powered by GenAI models (both self-managed and API-accessible) that meet business needs and comply with applicable regulations (GDPR, EU AI Act, model licenses, etc.).
  • Advanced Prompt Engineering: Design and optimize effective prompts (e.g., few-shot, Chain/Tree/Graph of Thought, ReAct, Self-reflection, guardrails), balancing simplicity and complexity to enhance analytical capabilities, refine outputs, improve user experience, and control interactions.
  • RAG Implementation: Design and implement Retrieval-Augmented Generation (RAG) architectures to improve accuracy and relevance by retrieving information from pre-determined knowledge sources, providing traceability (source attribution).
  • Model Selection & Fine-Tuning: Select and fine-tune appropriate models (including multimodal - VLM, SLM - Visual Language Models, Small Language Models) to create higher-quality content (text, image, audio, code, etc.) and maximize business value creation opportunities.
  • Integration & Deployment (MLOps): Implement MLOps best practices for the GenAI lifecycle, including automated pipelines (CI/CD), versioning, monitoring, and maintenance in production environments (Cloud platforms like AWS, Azure, GCP).
  • Evaluation & Responsible AI: Develop and execute rigorous evaluation frameworks to measure model performance, reliability, fairness, and safety.
  • Documentation: Document processes, methodologies, and best practices for knowledge sharing and future reference.
  • Design, build, train, fine-tune, and deploy sophisticated AI models leveraging LLMs (e.g., GPT-x, Claude, Gemini, Llama, Mistral) and other generative techniques.

Requirements

  • Master's degree or Engineering degree (or equivalent) in Computer Science, Engineering, Data Science, or a related quantitative field.
  • Required Technical Skills:
  • Knowledge of both proprietary and open-source model ecosystems (OpenAI, Anthropic, Mistral AI, Hugging Face, models hosted on AWS/Azure/GCP, etc.).

Nice to have

  • Experience with vector databases (e.g., pgvector, Pinecone, Chroma, OpenSearch).
  • Understanding of or experience with protocols and standards for connecting LLMs to external tools and databases, such as Model Context Protocol (MCP).
  • Experience deploying models at scale in production environments.
  • Sia is an equal opportunity employer.
  • All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.
  • Description résumée du poste en français:
  • Nous recherchons un conseiller en IA générative pour rejoindre son équipe AI & Data, au cœur des projets d'innovation du cabinet.
  • Le rôle consiste à concevoir, déployer et mettre en production des solutions GenAI à fort impact pour des clients issus de secteurs variés.

Skills

  • Strong programming skills, particularly in Python.
  • Proficiency in at least one major GenAI application framework (LangChain, LlamaIndex, etc.).
  • Proven experience in NLP/NLU, vector embeddings, and semantic search.
  • Hands-on experience with fine-tuning LLMs.
  • Mastery of advanced prompting techniques (Chain/Tree/Graph of Thought, ReAct, etc.).
  • Experience with Cloud platforms (AWS, Azure, or GCP) and their associated MLOps/AI services.
  • Familiarity with MLOps principles, CI/CD tools, Docker, and Git.
  • Excellent communication skills (written and verbal), ability to explain complex technical concepts simply.
  • Strong analytical and complex problem-solving abilities.
  • Curiosity, pioneering spirit, and a demonstrated commitment to continuous learning.
  • Ensure seamless integration into existing systems and with external tools/APIs, potentially utilizing standardized protocols (MCP).

Benefits

  • We're optimists for change and we help clients initiate, navigate and benefit from transformation.
  • Our 12 R&D labs in Europe and North America drive continuous research in areas like computer vision, MLOps, and deep learning, partnering closely with our business consultants for real-world impact.

Company info

  • Founded in 1999, we were born digital.
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This listing is sourced directly from Sia Partners's careers page and normalized into a canonical job model.