Intermediate Applications Developer Python, ML Frameworks, MLOps, Containerization, Terraform, GCP, Vertex AI, IBM Watsonx
IN - TDC 1 (IN110), India
INR 1600K-2500K (estimate) Mid-level Full Time
Tasks
- Build and scale ML pipelines
- Create ML CI CD workflows
- Deploy and maintain ML models
- Design production ML models and pipelines
- Develop MLOps workflows for reproducibility versioning and governance
- Ensure security compliance and cost optimization
- Implement automated retraining drift detection and redeployment
- Manage feature stores, knowledge graphs, and vector databases
- Mentor junior engineers
- Set up model monitoring observability and alerting
- Translate business problems into ML systems
Perks/Benefits
- N/A
Skills/Tech-stack
AI Pipelines | Apache Airflow | Big Data | CI/CD | Cloud platform | Deep learning | Docker | EvidentlyAI | Feature Store | Flink | GitHub Actions | GitLab CI | Google Cloud | Google Cloud Platform | Grafana | Helm | Infrastructure as Code | Jenkins | Kafka | Knowledge graph | Kubeflow | Kubernetes | Machine Learning | Model Monitoring | Model Observability | Prometheus | PyTorch | Python | SQL | Scikit-learn | Spark | TensorFlow | Terraform | Vector Database | Vertex AI | Vertex AI pipelines | XGBoost | “as-code”
Education
Regions
Countries
States
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