Ai/ml Solutions Analyst

**About Brock**:
The Brock Group is a leading provider of industrial specialty services to clients around the world, with headquarters in Houston, TX, and operating units in Canada, the United States, and Latin America. With the Canadian head office in Edmonton, the company supports routine maintenance, turnarounds, and industrial capital projects by providing services including scaffolding and work access, insulation, fireproofing, and asbestos abatement, for general maintenance, construction, turnarounds, and shutdowns to western Canadian producers.
**Position Summary**:
Brock Canada is seeking a detail-oriented and enthusiastic AI/ML Solutions Analyst. Brock is currently exploring opportunities to integrate advanced analytics (AA), artificial intelligence (AI), and machine learning (ML) technologies to automate processes, enhance decision-making, and improve the customer experience. Recognizing the transformative potential of these technologies, Brock aims to streamline operations and optimize its organizational processes.
Currently, Brock leverages self-service data visualization tools (e.g., MS Power BI) and an integrated data and analytics platform (Azure Fabric). However, AI and ML tools are largely in the conceptual or planning stages. Brock seeks a motivated and forward-thinking partner to help shape and implement the next steps in leveraging these technologies to support the company's growth.
Currently, Brock leverages self-service data visualization tools (e.g., MS Power BI) and an integrated data and analytics platform (Azure Fabric). However, AI and ML tools are largely in the conceptual or planning stages. Brock seeks a motivated and forward-thinking partner to help shape and implement the next steps in leveraging these technologies to support the company's growth.
**Purpose**:
The role will provide technical expertise and guidance, identify, gather, document, and analyze business and technical requirements, and assist in the design, implementation, and support of data and technology-driven projects. These projects will primarily focus on data-centric initiatives.
Business intelligence (BI) and data visualization.
Integrated data and analytics platforms/enterprise data lakes.
Web portals for data and information sharing.
Advanced analytics (AA), artificial intelligence (AI), and machine learning (ML).
**Key Responsibilities**:
Develop and maintain financial forecasting models with the estimating team to enhance financial estimating practices.
Collaborate with the Project Controls team to develop integrated SQL-querying models (e.g., LLMs).
Translate business requirements into technical requirements and deliver practical solutions.
Create and manage project documentation, including planning and stakeholder analysis.
Facilitate stakeholder consultations and lead stakeholder meetings.
Design and document business requirements, functional specifications, and technical requirements.
Conduct business process reviews and re-engineer existing processes as needed.
Facilitate business process improvement workshops.
Contribute to the development and implementation of new IT services.
Schedule, organize, and lead project meetings, including status updates.
Bridge communication between vendors, client ministries, and corporate teams.
Escalate unresolved issues or risks and provide options and recommendations.
Lead business architecture design, software specifications design, and database modeling.
Participate in iterative development using model-based processes.
Design and document n-tier development environments for complex software solutions.
Prepare project artifacts, including XML, UML, or other web-service technologies.
Deliver project status reports, outlining risks, issues, timelines, and deliverables.
Ensure effective project communication across all phases.
Identify and recommend user training needs.
Perform additional tasks as assigned by the Project Manager for a Business Analyst or Lead Technical Analyst role.
**Required Qualifications**:
2+ years of industry experience in developing and deploying ML models.
Strong understanding of database design principles and experience with large, complex datasets.
Familiarity with cloud platforms such as AWS, Azure, or GCP for deploying models.
Experience with data visualization tools (e.g., Power BI, Excel) to present insights effectively.
Knowledge of tools like Docker, Kubernetes, or CI/CD pipelines for ML workflows.
Proficiency in Python and familiarity with AI/ML libraries such as TensorFlow, PyTorch, or Scikit-learn.
Advanced SQL skills, including writing and debugging complex queries.
Experience with Large Language Models (LLMs), including fine-tuning and integration.
Strong understanding of AI algorithms, including time series, supervised/unsupervised learning, NLP, and Bayesian models.
**Why Brock**:
At The Brock Group, we pride ourselves on fostering a culture of excellence, safety, and innovation. As a leader in the industrial services industry,