ML Ops Engineer
4 days ago
Title: ML Ops Enigneer
Salary: upto 100,000 per month, depending on experience and skills
Working Days: Monday to Saturday
Working Hours: 5PM to 2AM
Contract Duration: 3 months (with potential extension based on performance, project need)
Location: Remote
Job Description:
- Design and implement the multi-tenant cloud infrastructure on AWS
- Deploy and scale SLM instances across GPU-enabled infrastructure
- Implement MLOps pipelines for model training, deployment, and monitoring
- Ensure security, compliance, and data isolation across tenants
- Set up monitoring, alerting, and performance optimization
Screening Parameters:
- Must have deployed multi-tenant SaaS applications
- Production experience with data warehouse setup (Redshift)
- ML model deployment and scaling experience or any AI model deployment experience
- Infrastructure as code and automation expertise
- Security and compliance implementation
Projects Must Have/Done:
- Deployed and scaled a multi-tenant B2B SaaS platform
- Built data warehouse and ETL pipelines for analytics
- Managed ML model deployment and inference serving
- Implemented complete CI/CD with security scanning
- Production Kubernetes and container orchestration
TechStack:
- Infrastructure: Terraform, CloudFormation, Ansible
- Cloud: AWS (EC2, EKS, S3, RDS)
- Data: Redshift, dbt, Airflow, Spark, Kafka
- MLOps: Kubernetes, Docker, MLflow, Kubeflow, Prometheus
- Monitoring: Grafana, Datadog, CloudWatch, ELK Stack
- Security: VPC, IAM, encryption, SOC 2 compliance
Job Types: Full-time, Contractual / Temporary
Contract length: 3 months
Pay: ₹1,000, ₹1,200,000.00 per year
Work Location: Remote
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