Job Title: AI Data Engineer for Enterprise Product company
Location: Greater Toronto Area, Canada (hybrid)
Job Type: Full Time
Job ID : AID2026-TOR-Eng101
About Digy4
Digy4 is a Canadian enterprise SaaS company transforming how organizations make decisions in software delivery and IT operations.
Our platform, DigyDashboard, delivers a risk-first, single pane of glass across DevOps, Quality Engineering, and enterprise systems—moving beyond dashboards to connected, explainable decision intelligence.
We work with global enterprises across Banking, Financial Services, and Telecom—building AI-driven systems that operate at scale and drive real business impact.
Role Overview
We are seeking an experienced AI Data Scientist with strong foundation in machine learning, statistical modelling and software development to design, develop, and deploy advanced analytics and AI-driven solutions leveraging machine learning models augmented with large language models (LLMs) for practical, scalable applications in cloud-based infrastructure. This role requires a strong foundation in real-world application of AI to solve complex business problems.
You will work cross-functionally with engineering, product, and business teams to build scalable data solutions and drive data-informed decision-making.
Key Responsibilities
- Design, build, and deploy machine learning and AI models in production
- Apply advanced techniques in Deep Learning, NLP, RAG (Retrieval-Augmented Generation), and Vector Databases
- Develop end-to-end data pipelines (ingestion → processing → modeling → evaluation)
- Analyze large structured and unstructured datasets for actionable insights
- Collaborate with data engineering teams on scalable data architecture
- Build and integrate AI services into full-stack applications (Node.js-based systems)
- Optimize models for performance, robustness, and scalability
- Ensure responsible AI practices (fairness, explainability, governance)
- Communicate insights effectively to business and technical stakeholders
- Stay current with emerging AI/LLM trends and tools
Required Skills
- Bachelor’s or master’s degree in computer science, Data Science, Mathematics, or related field
- 5–7 years of experience in Data Science / AI roles
- Proven experience building and deploying enterprise-grade AI solutions (must-have)
- Strong programming skills in Python (Pandas, NumPy, Scikit-learn)
- Full-stack development experience with Node.js (APIs, microservices, integrations)
- Experience with TensorFlow or PyTorch
- Solid understanding of statistics, probability, and experimental design
- Experience working with large-scale datasets.
- Experience deploying models into production environments.
- Familiarity with AWS or cloud platforms
Preferred Qualification
· Experience with NLP, recommendation systems, or time-series forecasting
· Knowledge of MLOps practices (CI/CD for ML, model monitoring)
· Experience with big data tools such as Spark or Hadoop
· Familiarity with containerization tools (Docker, Kubernetes)
· Experience working in Agile environments.
Email to apply: contactus@digy4.com