WINSTARS.AI is an Data Science R&D centre located in the engineering hub of Vinnytsia (Ukraine). We also have representative offices in the USA, Germany and Austria. And our scientists and engineers work all over the world.
Since we are not a large company, we specialize in several areas of data science. But our main expertise works in the Health Care, Energy, Defense and Agricultural sectors.
More information about us and our project on our website or on the Internet.
Since we are not a large company, we specialize in several areas of data science. But our main expertise works in the Health Care, Energy, Defense and Agricultural sectors.
More information about us and our project on our website or on the Internet.
Website:
www.winstars.ai
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· 12 views · 1 application · 2d
Senior MLOps
Full Remote · Ukraine · 5 years of experience · English - B2Winstars.AI is a research and development center comprising scientists, engineers, and visionaries dedicated to leveraging advanced technologies to enhance global efficiency and security. We are looking for a highly skilled Senior MLOps Specialist with...Winstars.AI is a research and development center comprising scientists, engineers, and visionaries dedicated to leveraging advanced technologies to enhance global efficiency and security.
We are looking for a highly skilled Senior MLOps Specialist with expertise in Python, cloud computing, machine learning, and large-scale data processing.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
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