Data Scientist – Machine Learning & MLOps

Qloron Pvt Ltd
Maharashtra, India

Job ID: QT-SNB-10-388

Experience: 6–8 Years

Location: Work From Office (WFO)

Work Schedule: As per project requirements

Qloron Technology is looking for an experienced Data Scientist with a strong engineering background and hands-on expertise in machine learning, Python, GCP, Kubernetes, and MLOps.

The ideal candidate should be capable of taking machine learning models from experimentation to production, building scalable inference pipelines, and operationalising ML workflows using modern cloud-native technologies.

Key Responsibilities1. Model Development & Data Science

  • Develop, train, and validate machine learning models using Python.
  • Perform feature engineering, exploratory data analysis, and model evaluation.
  • Apply ML techniques for prediction, classification, and optimisation use cases.2. ML Workflow Orchestration
  • Use Argo Workflows on Kubernetes to orchestrate model inference and post-processing pipelines.
  • Design automated and repeatable workflows for ML experiments and production inference.3. Model Training & Validation
  • Use Google Cloud Vertex AI for scalable model training, hyperparameter tuning, and validation.
  • Ensure reproducibility and consistency across training runs.4. Model Runtime & Inference
  • Build and maintain Python-based runtimes for training, inference, and feature engineering.
  • Optimise inference pipelines for performance, reliability, and scalability.
  • Monitor production pipelines and participate in on-call rotations for inference infrastructure.5. Model Storage & Lifecycle Management
  • Manage trained model artifacts in Google Cloud Storage (GCS).
  • Track model metadata, versions, and lineage using Argo or custom model registries.
  • Support model versioning, rollback, and auditability.6. Quality, Monitoring & Governance
  • Define model evaluation metrics and validation criteria.
  • Support post-deployment monitoring, drift detection, and retraining strategies.
  • Follow best practices for documentation, testing, and responsible AI.Required Skills & Qualifications
  • 6–8 years of relevant experience in Data Science, Machine Learning, or ML Engineering.
  • Strong hands-on proficiency in Python for data science and machine learning.
  • Experience with ML frameworks such as PyTorch, Scikit-learn, or CatBoost.
  • Familiarity with Kubernetes and Kubernetes-based workflows, particularly Argo Workflows.
  • Hands-on understanding of feature engineering, model evaluation, and validation techniques.
  • Experience taking ML models from experimentation to production inference.
  • Understanding of ML lifecycle management and MLOps principles.
  • Strong analytical, problem-solving, and communication skills.Good to Have
  • Experience with real-time or batch inference systems.
  • Exposure to CI/CD for ML pipelines.
  • Familiarity with model monitoring, drift detection, and automated retraining strategies.📩 Interested candidates can share their updated resumes at:

Email: vishwajit.mandal@qloron.com

Subject: Application – Data Scientist – QT-SNB-10-388

Please mention:

  • Total experience
  • Relevant Data Science / ML experience
  • Python experience
  • GCP Vertex AI experience
  • Kubernetes and Argo Workflows experience
  • Current CTC and expected CTC
  • Notice period
  • Current location🌐 www.qloron.com
  • #Hiring #DataScientist #MachineLearning #Python #MLOps #GoogleCloud #GCP #VertexAI #Kubernetes #ArgoWorkflows #PyTorch #ScikitLearn #QloronTechnology

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What skills does Qloron Pvt Ltd want for this Data Scientist – Machine Learning & MLOps role?

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This is based in Maharashtra.

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