Senior-Software-Engineer-I-MLOps

Job Description

Job Title: Senior Software Engineer I - MLOps

Posting Start Date: 6/3/26

Posting Location:

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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 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.

Why build with us?

Work on real problems. Learn fast. Ship impactful AI-native solutions that shape what's next.

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