Join Latent View Analytics as a Machine Learning Engineer, where you'll design and scale advanced AI and analytics platforms from your Canadian home office. Utilize the Databricks ecosystem to optimize workflows and drive innovative solutions.

As a key member of Latent View Analytics, you will connect data science and production engineering. This role requires development of scalable ML solutions, NLP applications, and Generative AI frameworks. Collaborate with data scientists and business stakeholders while utilizing technologies like Python, SQL, and Databricks to turn complex data into actionable insights.

Key Responsibilities:

- Design and deploy end-to-end machine learning solutions
- Develop production-grade ML pipelines using Databricks




- Configure Databricks Genie for self-service analytics
- Optimize existing production ML workflows
- Collaborate with teams to translate requirements into data products

Requirements:

- Solid experience with Python, SQL, and ML frameworks
- Proficiency in Apache Spark and MLflow
- Knowledge of MLOps and Generative AI/LLMs
- Experience with cloud platforms like AWS, Azure, or GCP
- Background in Retail Analytics preferred

Bring your expertise in machine learning and cloud technologies to help transform data into competitive advantages at Latent View Analytics.

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📌 Machine Learning Engineer at LatentView (Mississauga)
🏢 Socket.dev
📍 Mississauga