BENGALURU · FULLTIME
Data Engineer - MLOps
Triomics
Bengaluru · onsite · Posted 75d ago
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Not disclosed3–7 yrsfulltimeBengaluru
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Section · 01
About this role
Requirements:
- 3-6+ years of experience in data engineering, MLOps, backend engineering for ML systems, ML platform work, or production data workflows.
- Strong Python skills and comfort with data processing, APIs, scripts, and internal tools.
- Experience with Docker, Git, CI/CD, APIs, cloud infrastructure, and production monitoring.
- Experience with data pipelines, workflow orchestration, object storage, databases, and batch/stream processing.
- Familiarity with ML workflows such as experiment tracking, model registry, inference deployment, and evaluation pipelines.
- Ability to build practical internal tools quickly, including Streamlit or similar lightweight apps.
- Strong engineering discipline: logging, tests, reproducibility, documentation, reliability, and security-aware data handling.
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Section · 02
Skills
Data EngineerMLOpsETL
Section · Company
About Triomics
Triomics
HiringAI Agents for Oncology EHRs
50
employees
2021
5 years old
New York City, NY
United States
About
Triomics is building the AI infrastructure for modern oncology. Across the U.S., cancer care providers rely on highly trained staff to manually review unstructured patient records such as pathology reports, clinical notes, genomic panels, and scanned faxes to support workflows like clinical trial matching, visit preparation, and quality reporting. We replace that manual work with task-driven AI agents embedded directly into clinical workflows, automatically processing medical records at scale and in real time.
Our platform is trusted by 4 of the top 10 Best Hospitals for Cancer ranked by U.S. News, as well as several of the largest community oncology practices.
Industries
Artificial Intelligence (AI)Clinical TrialsGenerative AIHealth CareHospitalOncology