No longer accepting applications
Senior Machine Learning Engineer
Volga InfotechNadiād, Republic Of India, IN18 hours ago
Job descriptionBuild and automate end-to-end ML pipelines for training, testing, deployment, monitoring, and retraining. Manage model lifecycle using tools like MLflow , Kubeflow , Vertex AI , SageMaker , or Azure ML Studio . Implement CI / CD pipelines for ML workflows using GitHub Actions, Jenkins, or GitLab CI . Develop containerized ML services using Docker and orchestrate them via Kubernetes or ECS / EKS . Design and monitor model performance metrics , data drift , and concept drift in production environments. Work closely with DevOps and Data Engineering teams to integrate ML services with backend systems and APIs.
About the Role
We are seeking a Senior Machine Learning Engineer with strong expertise in classical machine learning algorithms , model optimization , and end-to-end MLOps deployment .
You will design, build, and operationalize scalable ML pipelines and ensure that ML models transition smoothly from experimentation to production. The ideal candidate combines deep technical skills with hands-on experience in automating and maintaining ML systems at scale.
Key Responsibilities
Machine Learning Development
- Design, train, and validate classical ML models (regression, tree-based models, ensemble methods, clustering, anomaly detection, etc.) for structured / tabular datasets.
- Collaborate with data scientists and data engineers to translate analytical models into production-grade code .
- Perform feature engineering, model tuning, and evaluation using frameworks like Scikit-learn, XGBoost, LightGBM, or CatBoost.
- Analyze data quality, perform exploratory data analysis (EDA), and create reusable feature stores.
MLOps & Productionization
Create a job alert for this search
Senior Machine Learning Engineer • Nadiād, Republic Of India, IN