Senior Machine Learning Developer (MLOps)

INR 3125K-4725K (estimate) Senior-level Full Time Found 3d ago

Tasks

• Assess ML tools and platforms
• Automate provisioning, configuration, monitoring
• Build CI/CD pipelines
• Build and optimize ML models
• Collaborate with cross-functional teams
• Design scalable ML/AI solutions
• Develop generative AI use cases
• Establish stakeholder communication
• Integrate DevOps/MLOps practices
• Lead ML architecture development
• Manage vendor and partner relationships

Perks/Benefits

• Flexible hybrid working
• Relocation support

Skills/Tech-stack

AI/ML | AI/ML Deployment | AI/ML Observability | APIs | AWS | Anomaly Detection | Azure | Bash | CD pipelines | CI/CD | CI/CD pipelines | Cloud Computing | Containerization | Databricks ML | Databricks ML Runtime | Datadog | Docker | EFK | ELK | Encryption | Event Driven | Event-driven architecture | GCP | Grafana | IAM | Kubeflow | Kubernetes | ML deployment | ML observability | ML runtime | MLflow | Microservices | Model Tracking | Monitoring | Observability | Open Source | Open Source Frameworks | OpenShift | Powershell | Prometheus | Python | RBAC | SageMaker | Secrets management | Security controls | Serverless | Terraform | Vertex AI