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THAT WOULD BE WONDERFUL IF YOU HAVE:
- • Hands-on experience with AWS services such as S3, AWS Batch, EC2, and Lambda for processing large-scale data.
• Experience in building and deploying scalable MLOps pipelines, including model deployment, versioning, and experiment tracking (e.g., using ClearML or similar tools).
• Proficiency in Python, with solid knowledge of libraries and frameworks used for data processing and machine learning.
• Expertise in automating data ingestion and quality control (QC) processes, specifically with medical data formats like DICOM, C-Arm images, and radiology reports.
• Experience in distributed data processing on platforms like AWS Batch (Spot) for large-scale processing and predictions.
• Familiarity with PostgreSQL for storing and managing metadata, and building services for metadata enrichment and prediction results.
• Experience working with regulatory frameworks such as FDA-compliant environments (21 CFR Part 11) and handling HIPAA/PHI data in accordance with industry standards.
• Strong understanding of data governance, access control, and audit trails, especially in clinical and healthcare-related environments.
• Upper-intermediate+ in English;
WOULD BE A PLUS:
• Active Kaggle participation;
• Experience in Computer Vision
ADVANTAGES FOR A CANDIDATE:
• Stable and competitive salary;
• Legally compliant gig contract with official tax reporting and payment;
• Work in a cool & experienced team;
• Useful & exciting projects;
• Up to 26 Days Off per year at your convenience;
• Convenient office in Vinnytsia or an opportunity to work remotely;
• Corporate culture with maximum automation of processes;
• Review of working conditions and position based on performance, productivity and development in accordance with a skills assessment program
• Excellent opportunities and prospects for professional growth in a company with a 9-year history.
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