Senior Software Engineer I - MLOps

Posted Oct 17, 2026

Job description

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 Sage. Maker, 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, Cloud. Watch, API Gateway, Sage. Maker 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., Py. Torch, Tensor. Flow) 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 is an AI‑native capital program management platform trusted by over 300 customers managing more than $300 billion in capital programs across North America.

With over 40,000 projects delivered, Aurigo helps organisations in transportation, water and utilities, healthcare, higher education, and government plan, build, and manage infrastructure with confidence. Recognised as one of the Top 25 AI Companies of 2024 and a Great Place to Work for three consecutive years, we leverage artificial intelligence to create smarter, more connected outcomes.

At Aurigo, we don’t just build software—we help shape the future of infrastructure.

Description copied from Aurigo's careers page. Read the full posting before you apply.

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