MLOps & Data Engineer
TriomicsOncology AI company
IndiaMid
Battery Ventures
Lightspeed
Y Combinator
Nexus Venture Partners
Oncology Ventures
Precision Health Informatics
Data & AI
About the role
TL;DR
Build and maintain infrastructure for ML team to process clinical documents and run experiments.
- •We are looking for an MLOps & Data Engineer to build the infrastructure that allows our ML team to process clinical documents, run experiments, deploy models, monitor systems, and support annotation/evaluation workflows.
- •Key Responsibilities Build and maintain data pipelines for clinical document processing, OCR outputs, text extraction, metadata normalization, and dataset preparation.
- •Support deployment cycles for ML/LLM systems in collaboration with Engineering DevOps.
- •Build and maintain training, inference, and evaluation infrastructure.
- •Improve experiment tracking, model versioning, dataset versioning, CI/CD, monitoring, observability, and reproducibility.
- •Build internal tools and lightweight Streamlit apps for annotation, clinical review, evaluation, QA, data inspection, and project operations.
- •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.
Required skills
PythonDockerGitCI/CD
Nice-to-have skills
KubernetesTerraformAirflowPrefectMLflowFastAPI
Domain expertise
healthcare
Benefits & perks
Lunch provided at the office, Flexible working hours, Comprehensive health insurance, Zomato meal benefits
Tech stack
PythonDockerGitCI/CDKubernetesTerraformAirflowPrefectMLflowFastAPI
