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AI/ML Architect

AdientOne LLCMontreal, QC🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationMontreal, QC, United States
Stakeholder ManagementMicrosoft ExcelMicrosoft PowerPointGitMLOpsMLflowConfluenceDatabricksPythonTerraformGenerative AIAzureMachine LearningJiraCI/CDAzure DevOps

Job description

DUTIES AND RESPONSIBILITES:
• Responsible for elicitation, analysis, and documentation of business requirements.
• Research and exploration of user requirements, costs, and benefits in support of documentation required for the demand management process.
• Responsible for analyzing the business needs to identify new processes and process improvements that will meet those needs.
• Documents current business processes and models to define requirements and/or gaps.
• Analyze detailed system factors including input/output requirements, information and paper flow, hardware, and software needs.
• Analyze “soft" system factors including roles, responsibilities, policy, culture, etc.
• Evaluate the impact of potential software and process changes on the organization.
• Develop and facilitate groups as necessary in pursuit of eliciting and defining requirements.
• Assist in the creation of the business case documentation.
• Understanding of architectural consistency and usability standards.
• Defines and develops user test cases and validates test results during testing.
• Executes unit and functional test cases.
• May conduct system demonstrations and training sessions, as well as participate in design/review of training content.
• Plays a third level support role by helping to troubleshoot and resolve issues with production systems.
• Participates in associate meetings and communicates any concerns to management.
QUALIFICATIONS AND REQUIREMENTS:
• Bachelor’s degree in computer science, Information Systems, Business, or another related field or equivalent work experience.
• Proven experience leading data migration requirements from legacy systems into a new ERP (Sage X3) environment
• Strong hands-on expertise in requirements elicitation, documentation, and management, with emphasis on data mapping, transformation rules, and validation
• Deep understanding of data structures, data quality, and migration best practices, with the ability to identify gaps and risks early
• Self-driven and accountable professional with strong stakeholder management and communication skills, able to drive outcomes with minimal oversight
• Working knowledge of Confluence and JIRA.
• Experience in any of the following business areas is desired: Sales operations, order entry, accounting, finance, procurement, warehouse operations, order management, and order fulfillment.
• Minimum of 3-5 years’ business analysis or systems analysis experience is preferred.
• Bonus: Sage X3 experience (ERP).
Associate is expected to operate at a proficient level across the following areas of technical knowledge and skill:
• Ability to organize and prioritize work.
• Detail oriented, proactive, creative, and efficient
• Intermediate level abilities in Excel, Outlook, PowerPoint, Visio, and Word
• Familiarity with application integration methods to include understanding of data mapping process.
• Ability to effectively work both independently and collaboratively in a team environment
• Ability to work on simultaneous and complex projects, with domain expertise in at least one business area.
• Expertise in ERP solution selection and implementation is a plus
• Ability to communicate effectively to both technical and non-technical audiences in written and non-written format
• Ability to work with all levels of associates
• Ability to work with minimal supervision in a very dynamic environment
• Ability to learn new systems and tools
• Knowledge of software development life cycle methodologies, processes, and procedures.
• Active listener
• Effective in a variety of formal/informal presentation settings: one-on-one, small, and large groups.

Job Title: AI/ML Architect

Location: Montreal, QC

Duration: 12 Months

Responsibilities:

  • Acting as an expert consultant in the architecture of data & AI solutions, as well as tools (framework) for transformation, data ingestion and industrialization of AI models (MLflow, MLOps);
  • Orient the design of solutions around best development practices and use cases of movement, ingestion, transformation, warehousing, denormalization, indexing, aggregation, point search, etc.;
  • Design the software architecture of new analytical and AI tools;
  • Evaluate in a structured manner technological components or libraries available on the market and integrate them into our existing tooling;
  • Participate in the architecture and construction of large-scale business analytics solutions;
  • Actively contribute to the development of the "Infrastructure as Code" culture and automation.

Requirements and qualifications

  • Demonstrate strong knowledge of software architecture, design patterns and best development practices in an analytical context;
  • Demonstrate significant experience in creating reusable and robust artifacts (libraries or other);
  • Demonstrate significant experience in structured and unstructured data modeling;
  • Demonstrate significant experience in machine learning and agentic artificial intelligence;
  • Demonstrate in-depth expertise in the Python language;
  • Have solid knowledge of the Databricks platform, its various capabilities and API, as well as Azure Cloud computing;
  • Having the ability to interact closely with several teams, to understand their needs and to respond to them with tools and support;
  • Mastering the specific characteristics associated with large-scale systems, high volumes of data (big data) and real-time transit (streaming);
  • Being able to propose solutions in a context of evolving existing solutions and projects with tight deadlines.

Required technologies/tools: Mlflow, Databricks, Collibra, Terraform, Azure DevOps, CI/CD Pipeline, Github, Copilot.

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