At LGS, we strive to provide a workplace that values your professional growth. Our company culture fosters diversity and inclusivity, and we welcome talents from both local and international backgrounds.
As a team member, you will play a crucial role in driving major projects that propel our clients’ businesses forward and improve people’s lives. You will be at the heart of collaborative large-scale digital transformation projects in both the public and private sectors.
The IBM Client Innovation Centre Quebec (CIC), at LGS, employs professionals who collaborate on projects within technology practices, offering local and remote services. Our employees, regardless of their level of experience, are paired with a coach to support their professional growth. As part of IBM’s global network, we have offices in Montreal and Quebec City.
The benefits of joining our team:
- Learn every day: access IBM's intellectual capital and trainings on a diverse range of cutting-edge technologies.
- For your well-being: a group insurance bundle including telemedicine, a retirement savings plan with employer’s contribution, access to IBM shares at discounted rates, and a wellness package!
- To enjoy quality time: annual vacations, additional company days off and special life events leaves!
- To have fun with your colleagues: an active community and a social committee with regular activities to keep us all connected!
Join our teamJoin our team as an AI Engineer.
Your Responsibilities:
- Implement automated MLOps pipelines (CI/CD, data, training).
- Implement ETL pipelines for data ingestion.
- Containerize and deploy models into production.
- Continuously monitor models (drift detection, alerting).
- Manage model and data versioning to ensure reproducibility.
- Apply governance principles (bias, privacy, transparency).
- Collaborate with data scientists to transform prototypes into stable services.
- Write optimized prompts and conduct comparative evaluations of models.
You Stand Out With:
- Languages & Libraries: Proficiency in Python + AI libraries (Pandas, Huggingface, OpenAI, etc.) and experience with Java and JavaScript.
- AI Agentic Frameworks: Experience with techniques such as multi-agent systems, ReAct, function Autogen, LangGraph, CrewAI, Chainlit, Streamlit, n8n, Google ADK.
- Knowledge of LLM and LFM Models: Familiarity with proprietary models (OpenAI, Claude, Gemini, etc.) and open-source models on HuggingFace.
- Data Science: Strong general understanding of data science techniques and their pipelines.
- Software Architecture: Understanding of distributed systems architecture, microservices, APIs (e.g., REST).
- Cloud Computing: Experience with AWS Bedrock, Azure AI Foundry, GCP Vertex AI.
- DevOps / MLOps:
o Deployment via CI/CD, containers (Docker, Kubernetes), cloud, and automated pipelines.
o Automation of ML workflows (preprocessing, training, evaluation, deployment).
o Versioning of models/data/experiments (MLflow, DVC, etc.).
o Monitoring of models in production (drift, latency, performance, business metrics).
- Governance & Compliance: Knowledge of ethics, bias, GDPR, explainability, privacy, AI risks.
- Prompt Engineering & Model Benchmarking: Ability to formulate effective prompts, compare models, test, and select for specific tasks.
- Deployment & Integration: Packaging models, production deployment (API, microservices), backend/legacy integration.
- Communication: Collaborate with data, product, and infrastructure teams; clearly explain AI challenges.
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Be yourself at LGS
LGS is committed to considering all qualified applicants without regard to ethnicity, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodiversity, age, veteran status or other characteristics.
If you are not a Canadian permanent resident or citizen, please consult with your talent acquisition consultant as this role may require the use of technologies that are regulated by export sanctions.
