Meeting your IT Professional Services Challenges
Toronto, Ontario
SMSS Inc. is the best solution company specialized in providing Information Technology and Management Consulting. We provide value for money to our clients by delivering the best quality technical services and solutions at reasonable rates. We also provide the best working environment for our staff and consultants. It is a growing IT services provider having wide array of solutions from Business Strategy Analysis to implementation and execution of Information Technology as well as management aspects of a business entity.
Hybrid · Toronto
Develop advanced analytics, predictive models, and AI-driven solutions for business priorities, including exploratory analysis, model validation, prototypes, and assessment of data readiness and business value. Collaborate with stakeholders and technical teams to operationalize successful solutions, monitor outcomes, and communicate findings while applying privacy, governance, and responsible AI considerations.
Hybrid · Toronto
Design, develop, test, and implement enterprise AI applications, intelligent agents, reusable components, and APIs using GenAI, LLMs, RAG, and machine learning. Integrate solutions with enterprise systems and data, evolve prototypes into secure production implementations, and apply software engineering, evaluation, governance, and documentation practices.
Hybrid · Toronto
Design, develop, and maintain scalable ETL/ELT pipelines, integrations, and reusable data services for enterprise AI, analytics, and data initiatives. Ensure data quality, reliability, performance, and maintainability while collaborating with architecture, AI/ML, data science, product, and business teams.
Hybrid · Toronto
Design, develop, deploy, integrate, monitor, and operationalize machine-learning and AI solutions using modern MLOps practices. Establish reusable deployment patterns, tools, monitoring, and automation to move models reliably into production and support enterprise-scale solutions.
On-site · Toronto
Develop and maintain scalable data pipelines, ingestion frameworks, and ETL/ELT processes using Azure Data Factory, Databricks, Azure Data Lake Storage, Spark, and Delta Lake. Support data quality, governance, security, deployment automation, platform operations, and collaboration with technical and business stakeholders on Ontario Data Platform solutions.
On-site · Toronto
Design, enhance, maintain, and optimize integrations between on-premises and cloud systems using Oracle Integration Cloud, Oracle Data Integrator, and custom PL/SQL. Support Oracle Fusion applications and data migration, troubleshoot interfaces, tune performance, and ensure solutions meet business requirements.
On-site · Toronto
Design, develop, test, and maintain secure, scalable enterprise applications, including backend services, RESTful APIs, microservices, and responsive frontend components. Troubleshoot and optimize applications and databases, support deployment and migration activities, and collaborate with stakeholders and Agile teams to meet quality, performance, and accessibility standards.
On-site · Toronto
Develop and maintain Power BI dashboards, reports, semantic models, and reusable reporting assets, integrating enterprise data and translating business requirements into actionable analytics. Optimize performance and refresh schedules, apply security and governance standards, validate reporting accuracy, troubleshoot issues, and support stakeholders through guidance and training.
On-site · Toronto
Administer and support Oracle Fusion Recruiting Cloud and related Oracle HCM systems, including user access, security, integrations, tenant environments, and day-to-day operations. Monitor and troubleshoot production systems, manage incidents and releases, and coordinate with HR, business stakeholders, vendors, and technical teams to maintain system stability and performance.
On-site · Toronto
Design and build scalable data pipelines, transform raw data into Silver and Gold layers, and develop semantic models and Power BI reports and dashboards. Support data architecture, integration, analytics, and reporting initiatives by ensuring data accuracy, reliability, security, and performance, while troubleshooting and maintaining data-driven applications.
Hybrid · Fredericton
Design, install, administer, secure, and maintain enterprise databases, ensuring their availability, reliability, performance, and protection of sensitive information. Develop and test backup and disaster recovery strategies, establish operational standards and monitoring tools, and collaborate with stakeholders on data strategy, modernization, issue resolution, and documentation.
Hybrid · Toronto
Design, develop, test, and maintain scalable ETL/ELT pipelines, integrations, and reusable data services for enterprise AI, analytics, and data initiatives. Ensure data quality, reliability, performance, and maintainability while collaborating with technical and business teams to onboard and prepare data for downstream use.
Hybrid · Toronto
Design, develop, test, and implement enterprise AI applications, intelligent agents, and reusable components using GenAI, LLMs, RAG, agentic AI, and machine learning. Integrate solutions with enterprise data and workflows, evolve prototypes into secure production systems, and apply software engineering, performance evaluation, Responsible AI, privacy, and governance practices.
Hybrid · Toronto
Develop advanced analytics, predictive models, and AI-driven solutions for business priorities, including exploratory analysis, prototyping, and model validation. Collaborate with stakeholders and technical teams to operationalize successful solutions, measure business outcomes, and communicate findings while addressing privacy, governance, and responsible AI considerations.
Hybrid · Toronto
Deploy, integrate, monitor, and operationalize machine-learning and AI solutions using modern MLOps practices, creating reusable deployment patterns, tooling, monitoring, and automation. Develop and evaluate models, run experiments, and help move solutions reliably from development into production at enterprise scale.
On-site · Toronto
Lead business analysis to identify stakeholder needs, document requirements, assess business problems and opportunities, and recommend effective I&IT solutions. Develop business cases, feasibility studies, process models, and functional requirements while monitoring progress and aligning work with Ontario Public Service methodologies and standards.
On-site · Toronto
Design and build scalable data pipelines, transform raw data into Silver and Gold layers, and develop semantic models and Power BI reports and dashboards. Translate business requirements into tested applications, troubleshoot data and software issues, and support analytical reporting and OLAP solutions.
Hybrid · Toronto
Design and evolve enterprise data architecture, data models, reusable data products, and integration standards to support analytics, AI/ML, operational use cases, and the organization’s future-state architecture. Partner with governance, business, data, architecture, and engineering teams to embed data ownership, quality, metadata, lineage, security, and lifecycle requirements while identifying opportunities to improve data reuse and interoperability.
Hybrid · Toronto
Lead enterprise AI initiatives from opportunity intake and prioritization through delivery, adoption, and benefits realization. Develop AI roadmaps and business cases, coordinate business and technical teams, and track outcomes to guide whether solutions should be scaled, improved, sustained, or retired.
Hybrid
Develop, maintain, test, and enhance applications using C#, Visual Studio, and Microsoft SQL Server, including designing databases and producing technical documentation. Work with business users, clients, and development teams to gather requirements, support testing and releases, troubleshoot issues, and ensure solutions meet business needs.
