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Job Description
We're hiring: ML Engineer / MLOps Engineer, Visakhapatnam (On-site, Full-time)
At YAE Services, we help businesses build smart, scalable technology, from Odoo ERP and Zoho Creator apps to fractional CTO services for startups and growing organizations. We're now looking for an ML Engineer to turn notebook work into production pipelines that run every day without anyone touching them.
What you'll do
- Build SageMaker Pipelines for scheduled daily batch inference
- Deploy Chronos-2 as the primary forecasting model, with artefact management, versioning, and challenger model evaluation
- Set up Model Monitor for drift detection, plus alerting on failures and anomalous output
- Build a reproducible feature pipeline shared by backtest and production
- Implement CI/CD and infrastructure as code for the ML stack
- Write the client runbook covering retraining triggers, failure handling, and monitoring
What you bring
- 4+ years in ML engineering, including 2+ years with AWS SageMaker in production
- Hands-on with SageMaker Pipelines, Model Registry, Processing, and Batch Transform
- Production-grade Python: testing, packaging, dependency management
- IaC with CDK, CloudFormation, or Terraform
- CI/CD for ML workloads
Bonus points
Foundation model deployment, MLflow or SageMaker Experiments, and experience building systems for client handover.
Tools you'll work with
AWS SageMaker, S3, EventBridge, CloudWatch, SNS, Lambda, ECR, Docker, Python, boto3, pytest, Terraform/CDK, GitHub Actions or CodePipeline, MLflow
Visakhapatnam, on-site
Immediate joiners preferred
Industry
- IT Services and IT Consulting
Employment Type
Full-time
More Info
Key Skills
MLflow
SageMaker Pipelines
IaC with CDK
CI CD for ML workloads
Model Registry
GitHub Actions
Batch Transform
CodePipeline
boto3
AWS SageMaker




