Senior Software Engineer I - MLOps

Date: Apr 13, 2026

Location:

IN

Company:
Aurigo Software Technologies

About this role:

We are seeking a skilled ML Ops Engineer to design, implement, and maintain scalable machine learning and large language model (LLM) pipelines in cloud environments, primarily using AWS services. This role is critical to ensuring the reliability, efficiency, and performance of ML systems in production. The ideal candidate will have hands-on experience with AWS tools such as SageMaker, Lambda, Bedrock, Batch with Fargate, and infrastructure components like RDS, DynamoDB, and SQS. You will be responsible for automating CI/CD workflows, managing auto-scaling APIs, and provisioning cloud resources to support high-performance ML workloads, including RAG systems.

Required Skills:

• Education : Any Engineering (BE/B.tech/M.E./ M Tech)

• Min 4 years of experience with AWS services such as Lambda, Bedrock, Batch with Fargate, RDS (PostgreSQL), DynamoDB, SQS, CloudWatch, API Gateway, SageMaker

• Should have hands-on experience in drift analysis, including detecting and mitigating data, concept, and label drift in production ML systems

• Knowledge of ML frameworks (e.g., PyTorch, TensorFlow) to understand model requirements during deployment

• Experience with Rest API Frameworks like Fast APIs, Flask

• Familiarity with model observability like Evidently, Nanny ML, Phoenix and monitoring tools (Grafana etc) and retraining tools like MLflow/ Kubeflow / Airflow

• AWS Certified Machine Learning – Specialty – Good to have this certification

About Aurigo

Aurigo builds AI-native capital program management software. Founded in 2003. FedRAMP and StateRAMP certified. Over $300 billion in capital programs under management. 20 years of longitudinal project data powering our AI capabilities. Customers include state DOTs, federal agencies, ports, transit authorities, and facility owners across seven verticals.