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Machine Learning Engineer
Build and deploy ML models for plant-based food products, collaborating with chefs and scientists to improve recipes and processes using Python, PyTorch, and cloud GPUs.
AI Engineer
Build and deploy AI models: clean datasets, train neural networks, convert models to APIs, and integrate them into apps and cloud systems.
Platform Engineer (AI / Data Platform, 30-40K)
Build and maintain the AI platform and data lakehouse, automating operations and deploying services using Python, Kubernetes, and MLOps tools.
Senior Data Analyst
Lead data collection, cleaning, and analysis to drive strategic decisions; build and maintain databases; mentor junior analysts; and deliver insights using tools like Tableau or Power BI.
Senior Machine Learning Engineer, Recommendations (Experience)
Build and ship ML-powered recommendation systems for 200M+ users, owning end-to-end pipelines from data to real-time serving using BigQuery, Airflow, BigTable, and LLMs.
Python Developer
Develop and maintain scalable Python solutions for financial services clients, focusing on enterprise-grade architecture, performance optimization, and DevOps practices.
Senior Data Engineer (Python, Spark, Snowflake) - Toronto, ON
Builds and maintains scalable data pipelines and analytics infrastructure using Python, Spark, and Snowflake to process large datasets and generate business insights.
Senior Data Engineer
Build and maintain scalable data pipelines and analytics infrastructure using Python, Spark, and Snowflake to power business insights and decision-making.
Data Scientist, AI/ML Predictive Maintenance Platform
Build AI/ML models for real-time predictive maintenance using IoT sensor data, deploying models every 1–2 weeks and monitoring performance in production.
ETL Data Engineer - Python & AWS (Finance)
Designs, builds, and maintains ETL pipelines in Python and Jupyter to process financial data for HedgeServ’s Product and Portfolio Support Team.
Data scientist midrand
Build and deploy ML models for automotive object detection and analytics, using Python, AWS, and MLOps pipelines, while supporting data visualization and business insights.
Senior data scientist
Leads ML model development and advanced analytics to drive business decisions, building predictive models and mentoring junior data scientists.
AWS Data Engineer
Build and optimize AWS-based data pipelines and ML workflows using SageMaker, Kinesis, Glue, and Redshift, ensuring low-latency real-time and batch processing with Python and AWS services.
Staff Data Engineer (AWS, Postgres)
Lead a team to design and build cloud-native data pipelines in AWS (S3, Glue, Redshift, Airflow) and Postgres, delivering scalable solutions for financial control and reporting at a major bank.
Data scientist & Engineer
Build and deploy data models and pipelines for connected-vehicle analytics, using Python, PySpark, and cloud tools to extract insights and power Targa’s telematics products.
SWAN Core Developer (Full-Stack, DevOps)
Builds and maintains SWAN, a Jupyter-based platform for interactive analysis, integrating services and handling DevOps for researchers and engineers.
Sr. AI Engineer (GCP)
Build and deploy ML models on GCP for a healthcare-focused product, including MLOps pipelines, Vertex AI, and secure API integrations with strict KSA compliance.
Platform Engineer (Data Platform, AI, 25-35K)
Build and maintain the AI platform and data lakehouse, automating operations and integrating services with APIs and cloud infrastructure using Python, Kubernetes, and MLOps tools.
Junior Computer Vision Engineer / Data Science - Software Developer
Build and optimize computer-vision models for real-time casino camera feeds, then integrate them into live gaming systems using Python, PyTorch, and AWS.