Specialist in artificial intelligence

Cofomo; Montreal; Hybrid; CAD 90,000 - 150,000; Full time

Job summary

COFOMO in Montreal seeks a Specialist in artificial intelligence with 6–9 years of experience to design, develop, and scale AI solutions including generative and agentic AI, computer vision, and MLOps. You will work across data platforms and APIs to deliver production-ready solutions.

Hybrid role combining collaboration with multidisciplinary teams, proficiency in Python, SQL, PySpark, and Azure-based tools, and a drive to industrialize AI capabilities for client transformations.

Qualifications

• Bachelor's degree in computer science, software engineering, artificial intelligence, data science, or related field.
• 6 to less than 9 years of relevant experience in developing AI and data solutions, particularly in production environments.
• Experience in Python development as well as development, integration or industrialization of AI solutions.
• Familiarity with data and AI platforms such as Databricks and Microsoft Azure.

Responsibilities

• Design, develop, integrate, deploy, and scale AI solutions, including generative and agentic AI, computer vision, and MLOps.
• Analyze business and technical needs to recommend solutions.
• Develop and integrate models, AI capabilities, and software components.
• Prepare data for AI solutions and implement deployment, monitoring, and quality mechanisms.
• Integrate AI solutions with applications, APIs, and data platforms.
• Prototype, proofs of concept, and validate approaches with stakeholders.
• Document solutions and ensure knowledge transfer.

Skills

Python

SQL

PySpark

Git

Bash/CLI

MLOps

Vector Search

Azure DevOps

Databricks

Education

Bachelor's degree in Computer Science

Tools

Databricks

Azure

Terraform

Azure Data Factory

VS Code

Job description

87526# Specialist in artificial intelligenceMontrealHybridOtherApplyWith over 30 years of recognized expertise, COFOMO is now a leading Canadian consulting firm specializing in digital and artificial intelligence. Supported by more than 3,000 experts, 10 Centers of Excellence, and 4 offices across the country, we are uniquely positioned to successfully guide our clients through their transformations. Both strategic and tactical, we help organizations across a wide range of industries thrive in today’s rapidly evolving world.## Our promiseHelp our clients succeed and maximize the impact of their transformation initiatives, turning them into powerful drivers of growth and innovation.## Job description**Here's a brief overview of the tasks and responsibilities you'll have :** • Design, develop, integrate, deploy, and scale artificial intelligence solutions, including generative and agentic AI, computer vision, and MLOps; • Analyze business and technical needs in order to recommend appropriate solutions; • Develop and integrate models, artificial intelligence capabilities, and software components; • Exploit, prepare and integrate the data necessary for the realization of the solutions; • Implement mechanisms for industrialization, deployment, monitoring, performance and quality of solutions; • Integrate artificial intelligence solutions with applications, APIs, and data platforms; • Perform prototypes, proofs of concept and functional increments to validate the selected approaches; • Participate in validation activities with users and different stakeholders; • Document the solutions developed and ensure knowledge transfer. **The profile you are looking for is as follows:** • Bachelor's degree in computer science, software engineering, artificial intelligence, data science, or a relevant field; • Have six (6) to less than nine (9) years of relevant experience in developing artificial intelligence and data solutions, particularly in production environments; • Experience in Python development as well as in the development, integration or industrialization of artificial intelligence solutions; • Master, depending on the profile sought, generative and agentic AI or computer vision and MLOps; • Knowledge of data and artificial intelligence platforms such as Databricks and Microsoft Azure, or equivalent technologies; • Demonstrate an ability to collaborate with multidisciplinary teams and popularize complex technical concepts; • Be proficient in Python, SQL, PySpark/Spark, YAML, Bash/CLI, and Git; • Know Azure DevOps, VS Code, Databricks Notebooks, Repos et Jobs, Azure Data Factory, and Terraform; • Experience with MLflow, execution and data traceability, metrics, logs, monitoring and alerting; • Master MLOps practices, including model registry, batch and real-time deployment, Feature Store, and performance monitoring and monitoring; • Be familiar with generative AI and RAR technologies, including Azure AI Foundry, Azure OpenAI, Mosaic AI Gateway, vectorization, embeddings, vector bases and indexes, Azure AI Search, Vector Search, and Cosmos DB; • Experience in industrializing generative AI solutions, including endpoints and APIs, services and microservices, agents and their orchestration, tools and connectors, MCPs, tracing and assessment, guardrails, compliance, and, if necessary, fine-tuning.