Data Scientist
Qloron Technology6–8 yrsPuneOn-siteDirect career pageEst. 15–28 LPA
Posted 20h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, train, and operationalize machine learning models end-to-end using Python and modern cloud-native ML platforms (GCP, Kubernetes).
- Develop automated, scalable workflows for ML experiments, model inference, and post-processing using Argo Workflows and Vertex AI.
- Manage model lifecycle including versioning, monitoring, drift detection, production inference stability, and participate in on-call rotation for inference infrastructure.
Minimum Requirements
- 6-8 years of experience in data science/machine learning roles.
- Strong proficiency in Python and hands-on experience with ML frameworks like PyTorch, scikit-learn, catboost.
- Experience with Kubernetes and Kubernetes-based workflow orchestration (Argo Workflows).
- Familiarity with ML lifecycle management, MLOps practices, and cloud platforms (Google Cloud Platform).
Ideal Candidate Profile
- Experienced in full ML lifecycle from experimentation to production deployment with emphasis on reliability and scalability of inference systems.
- Technical operator comfortable with cloud-native environments, Kubernetes orchestration, and containerized ML pipelines.
- Demonstrated ability to deliver measurable business impact through data science and machine learning solutions in production settings.