Data Engineer – AI Compliance

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November 25

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All Seniors Care Living Centres

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Healthcare Insurance • Wellness • Non-profit

All Seniors Care Living Centres is a prominent Canadian company specializing in senior living and care. With a commitment to providing high-quality supportive services, this organization offers a range of living accommodations, including independent and assisted living options. Their residences are designed to enhance the quality of life for seniors, featuring luxurious living spaces and comprehensive wellness programs aimed at addressing both physical and emotional needs. The company prides itself on its innovative approach and dedication to individualized care, ensuring a safe and nurturing environment for all residents.

501 - 1000 employees

Founded 2005

⚕️ Healthcare Insurance

🧘 Wellness

🤝 Non-profit

📋 Description

• Build and scale systems that support text and voice analysis, risk detection, and classifier training workflows. • Responsible for production-grade machine learning pipelines (0 → 1). • Collaborate closely with data scientists and AI engineers to deliver compliant, reliable data infrastructure and services. • Build and maintain end-to-end ML pipelines: data ingestion, preprocessing, feature extraction, model training, evaluation and deployment. • Develop reliable workflows specifically for voice and text analysis models. • Design and maintain data storage, ETL workflows, and streaming/batch systems. • Implement data-quality, data-labeling, versioning and governance practices. • Work with data scientists and AI engineers to productionize models (e.g., text classifiers, anomaly-detection models, compliance-scoring models). • Support model monitoring and performance tracking once models are live. • Build robust, scalable, fault-tolerant pipelines. • Document ETL processes, schemas, architecture and workflows. • Support compliance, data governance, and security standards in data pipelines and infrastructure.

🎯 Requirements

• 3+ years in data engineering or ML engineering roles. • Proven experience building ML pipelines from scratch. • Experience with text classification, voice analysis or similar ML tasks is a strong plus. • Strong programming skills (Python, Scala or Java). • Experience with big-data/streaming frameworks (Spark, Beam, Kafka or similar). • Familiarity with ML frameworks (PyTorch, TensorFlow, scikit-learn). • Experience with cloud data infrastructure and production deployment. • Degree in Data Engineering, Computer Science, Machine Learning or related field (or equivalent experience).

🏖️ Benefits

• Be at the intersection of cutting-edge AI/voice technology and compliance. • Make an impact by shaping a growing brand in a high-growth market. • Work with a collaborative, high-energy remote team driving forward-thinking solutions. • Grow your career and influence across product, marketing and business domains.