Senior ML Engineer (AWS)

TL;DR

Senior ML Engineer (AWS/MLOps): Building, deploying, and supporting machine learning models and optimization systems on AWS with an accent on productionizing models into scalable APIs and batch pipelines. Focus on designing model inference services, implementing MLOps monitoring, and creating robust CI/CD workflows for the ML lifecycle.

Location: Atlanta, GA, US (Remote Work Flexibility). Must be eligible to work in the United States without sponsorship.

Company

hirify.global provides cloud-based software and services to nonprofits and associations to help them engage communities, simplify operations, and grow revenue.

What you will do

• Productionize ML and optimization models as scalable APIs, batch jobs, and event-driven services.
• Build and maintain ML deployment pipelines on AWS using container, serverless, and Kubernetes patterns.
• Design model inference services, batch scoring pipelines, and orchestration layers for real-time and offline use cases.
• Implement model monitoring, validation, and drift detection processes.
• Build robust data ingestion and feature pipelines using streaming and batch architectures.
• Create reusable ML service frameworks, deployment templates, and CI/CD workflows.

Requirements

• 7+ years in software or platform engineering, with 3+ years in ML engineering or MLOps.
• Strong experience deploying ML models to production on AWS (SageMaker, ECS, EKS, Lambda, Athena, S3, SQS, SNS, CDK/Terraform).
• Proficiency in Python and working knowledge of Java, Scala, or Go.
• Experience with ML frameworks (scikit-learn, TensorFlow, XGBoost) and tools (FastAPI, Airflow, Spark).
• Background in distributed systems, microservices, and cloud-native architecture.
• Must be eligible to work in the United States without sponsorship.

Nice to have

• Experience with NLP, optimization models, forecasting, or fraud and identity models.
• Experience with Red Hat OpenShift or Kubernetes-based ML deployments.
• Knowledge of data lakes, Parquet, and large-scale analytics platforms.
• Exposure to multi-cloud environments including GCP and Azure.

Culture & Benefits

• Comprehensive Medical, Dental, and Vision benefits.
• 401(k) savings plan with company match.
• Flexible planned paid time off and generous sick leave.
• Employer-paid parental leave and short-term disability.
• Purpose-driven culture with a commitment to community involvement and work-life balance.
• Remote work flexibility.