Sr. AI Engineer, Data & Insights at Viral Nation Inc.

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

28 Jan, 26

Salary

0.0

Posted On

30 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, AI Engineering, Data Integration, Google Cloud Platform, BigQuery, Snowflake, Python, SQL, Business Intelligence, Data Analysis, MLOps, Analytical Skills, Problem-Solving, Communication Skills, Project Management, LangChain

Industry

Advertising Services

Description

At Viral Nation, we specialize in building social-first ecosystems for brands to connect with the modern consumer journey. Our integrated solutions align strategy, talent, media, and technology with culturally relevant creativity to scale the world’s fastest-growing digital brands. Viral Nation offers a fluid, creative, and growth-oriented environment that will support your ambitions to apply your talents in an open, collaborative, and fast-paced culture. Our ability to stay at the forefront of the industry has fuelled our success and will guide us in paving the path forward. We’re driven to push boundaries and think beyond today to deliver strategies, and we’re just getting started. While we continuously exceed our goals, we need your help – our success is only as great as our people. Strong performance leads to high expectations, and we must keep raising the bar! Position Overview: We are seeking an analytical and business-savvy AI Engineer to unlock actionable insights from our vast datasets. In this role, you will focus on deploying, managing, and integrating both traditional machine learning and LLM-based models to solve complex business problems. You will be responsible for operationalizing AI to drive forecasting, classification, and business intelligence, directly impacting strategic decisions and ROI. This is a critical role for a technical expert who is passionate about turning data into measurable business outcomes. Responsibilities: Deploy & Scale ML Models: Operationalize and scale machine learning models (e.g., for forecasting, classification, risk scoring) on Google Cloud Platform, ensuring they are robust and integrated into business workflows. Build Insight-Driven Pipelines: Architect and manage data pipelines using BigQuery and Snowflake to process, cleanse, and structure complex datasets for consumption by AI models and BI platforms. Integrate AI with BI Systems: Develop the integration layer between AI model outputs (predictions, scores, summaries) and our business intelligence tools (e.g., Looker, Tableau), enabling self-serve analytics for stakeholders. Enable LLM-Powered Analytics: Implement and scale solutions that use LLMs for complex data analysis, such as natural language querying of databases, sentiment analysis, and thematic extraction from unstructured text. Translate Models into Business Value: Partner with data science and business intelligence teams to ensure model outputs are not only accurate but also interpretable, actionable, and aligned with key performance indicators. Maintain Analytical Infrastructure: Ensure the reliability, performance, and governance of the AI systems that power our business insights. Qualifications and Skills: Core Technical Expertise (Must-Have): 7+ years of experience designing and developing production-quality software systems 3-5 years of experience with engineering, AI or LLM’s Demonstrated hands-on experience with Google Cloud Platform (GCP), particularly Vertex AI and BigQuery. Proficiency in building and deploying AI solutions using LangChain and/or the Google AI Language SDK. Experience with agentic frameworks and platforms, specifically AgentSpace. Strong data integration and warehousing skills using Snowflake. Additional Technical Skills: Strong proficiency in Python and its data science ecosystem (Pandas, NumPy, Scikit-learn). Advanced SQL skills for complex querying and data manipulation. Experience integrating with BI and data visualization tools (e.g., Looker, Tableau). Understanding of MLOps principles (CI/CD, model monitoring, lifecycle management). Business & Operational Skills: Strong business acumen with the ability to connect data-driven insights to tangible business outcomes and ROI. Exceptional analytical and problem-solving skills. Proven ability to manage technical projects in a fast-paced, agile environment. Excellent communication skills, with a talent for distilling complex analytical results into clear, concise business recommendations. Viral Nation is committed to diversity, equity and inclusion in our agency. Viral Nation welcomes applications from people with visible and non-visible disabilities. Accommodations are available on request for candidates taking part in all aspects of the recruiting and selection process.

Responsibilities

The role involves deploying and scaling machine learning models on Google Cloud Platform and building data pipelines for AI model consumption. Additionally, the engineer will integrate AI outputs with business intelligence tools to enable self-serve analytics for stakeholders.