Job Description

We are hiring a Senior ML Engineer to build, deploy, and support machine learning models and optimization systems on AWS. This role sits between data science and platform engineering, turning models into reliable production services and batch pipelines. The ideal candidate has deep experience with MLOps, APIs, cloud-native deployment, model serving, workflow orchestration, and enterprise-scale ML platforms.

Key Responsibilities

· Productionize machine learning 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-based patterns.

· Partner with data scientists to integrate models into enterprise applications and operational systems.

· Design model inference services, batch scoring pipelines, and orchestration layers for real-time and offline use cases.

· Implement model monitoring, validation, drift detection, and post-deployment support processes.

· Build robust data ingestion and feature pipelines using streaming and batch architectures.

· Create reusable ML service frameworks, deployment templates, and CI/CD workflows.

· Improve model reliability, latency, and cost efficiency in production.

· Support experimentation, tooling evaluation, and platform decisions for ML lifecycle management.

Required Qualifications

· Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.

· 7+ years in software engineering or platform engineering, with 3+ years in ML engineering or MLOps.

· Strong experience deploying ML models to production on AWS.

· Hands-on experience with AWS services such as SageMaker, ECS, EKS, Lambda, Athena, S3, SQS, SNS, and CDK/CloudFormation/Terraform.

· Strong Python skills and working knowledge of Java, Scala, or Go.

· Experience with ML frameworks and tools such as scikit-learn, TensorFlow, XGBoost, FastAPI, Airflow, Spark, and Jupyter.

· Experience building REST APIs around models for enterprise consumption.

· Experience with Kubernetes, CI/CD pipelines, infrastructure as code, and monitoring.

· Strong background in distributed systems, microservices, and cloud-native architecture.

Preferred Qualifications

· Experience serving models in real-time and batch settings at enterprise scale.

· Experience with NLP, optimization models, forecasting, classification, or fraud and identity models.

· Experience with Red Hat OpenShift or Kubernetes-based ML deployments.

· Experience with data lakes, Spark, Parquet, streaming ingestion, and large-scale analytics platforms.

· Exposure to multi-cloud environments including AWS, GCP, and Azure.

· Ability to mentor engineers and drive architecture standards.

What Success Looks Like

· ML models reliably deployed and maintained in production.

· Faster cycle time from model development to business impact.

· Strong operational excellence around monitoring, validation, and support.

· Scalable ML platform patterns that can be reused across teams.

#LI-MH1 #momentivesoftware

About Us

Momentive Software amplifies the impact of over 20,000 purpose-driven organizations in over 30 countries, with over $11 billion raised and 55 million members served to date. Mission-driven nonprofits and associations rely on Momentive’s cloud-based software and services to address their most pressing challenges – from engaging their communities to simplifying operations and growing revenue. Designed to help organizations connect more, manage more, and ultimately expect more, Momentive's solutions are built with reliability at the core and strategically focus on fundraising, learning, events, careers, volunteering, accounting, and association management. Momentive partners with organizations that believe "good enough" is never enough – so they can bring on better outcomes for everyone they serve. Learn more at momentivesoftware.com.

Why Work Here?

At Momentive Software, we’re a team of passionate problem-solvers, innovators, and volunteers who believe in using technology to make a real difference. We dream big, support each other, and take pride in creating solutions that help our customers drive meaningful change. If you’re looking for a place where your work matters and your ideas are valued, you’ll find it here.

Medical, Dental & Vision Benefits

401(k) Savings Plan with Company Match

Flexible Planned Paid Time Off

Generous Sick Leave

Inclusive & Welcoming Environment

Purpose-Driven Culture

Work-Life Balance

Commitment to Community Involvement

Employer-Paid Parental Leave

Employer-Paid Short-Term Disability

Remote Work Flexibility

Momentive Software actively embraces diversity and equal opportunity in a meaningful way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be, which is why we do not discriminate based on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

All persons hired will be required to verify identity, minimum age of 18, eligibility to work in the United States (without sponsorship), and to complete the required employment eligibility verification form upon hire.