MEDFAR

www.medfarsolutions.com

1 Job

209 Employees

About the Company

Our mission is to promote excellence and efficiency in healthcare through our MYLE and PLEXIA electronic medical records.

MEDFAR leverages healthcare experience, research, and passion with the latest cloud-based technology to offer medical practices comprehensive and easy-to-use clinical management systems.

Our EMR solutions, MYLE and PLEXIA, are built with physicians in mind. MEDFAR R&D is performed in partnership with doctors and healthcare administration, and is driven by our clients' needs.

The MYLE EMR, tailored to general practitioners, and the PLEXIA EMR, tailored to specialists, allow physicians to focus on a richer patient-physician relationship by simplifying the clerical and administrative duties of daily medical practice. With MYLE and PLEXIA, it's easy to see all of the patient's files and data in one intuitive platform, providing medical professionals fast access to a complete profile to make better informed, safer care decisions.

Listed Jobs

Company Name: MEDFAR
Job Title: Senior Data Developer (AI/ML)
Job Description: **Job title:** Senior Data Developer (AI/ML) **Role Summary:** Design, build, and operate end‑to‑end data pipelines that feed AI/ML services. Own the full data stack from ingestion to feature delivery, ensuring clean, secure, and high‑quality data for production models and experimentation. Collaborate closely with data science and software engineering teams to enable scalable AI solutions. **Expectations:** - Deliver production‑grade data workflows that meet performance, security, and quality standards. - Own the data architecture for structured and unstructured data across cloud environments. - Continuously assess and adopt new tools to improve scalability, cost, and maintainability. **Key Responsibilities:** - Build and maintain ETL pipelines ingesting large volumes from diverse sources. - Design scalable, fault‑tolerant data workflows using modern orchestration tools. - Establish data architecture and strategy for production datasets. - Partner with data scientists and AI developers to provide curated datasets for experimentation, evaluation, and monitoring. - Deploy and optimize data pipelines in cloud (preferably Azure). - Implement data validation, observability, and monitoring processes. - Enforce data quality, governance, and security best practices. - Evaluate and prototype new tools and frameworks. **Required Skills:** - 5+ years in production data pipeline engineering (or 7+ years equivalent). - Deep experience with AI/ML production pipelines and model monitoring. - Expertise in orchestration tools (Azure Data Factory, Databricks Jobs, Airflow, etc.). - Proficiency in distributed processing frameworks (Apache Spark/PySpark). - Strong Python and SQL programming. - Familiarity with containerized environments (Docker, Kubernetes). - Knowledge of cloud data services, preferably Azure. - Understanding of data quality, governance, and security. - Bilingual fluency in French and English. - Builder’s mindset, proactive, detail‑oriented. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Information Systems, or related quantitative field. - (Optional) Relevant certifications in cloud platforms (e.g., Azure Data Engineer Associate) or big data technologies.