16th September, 2025
For more than three decades, Strategic Data Systems (SDS) has been a software consultancy firm specializing in strategy, technology, and business transformation for Fortune 100 companies, mid-sized firms, and startups. At SDS, we empower our development teams to address our clients' critical business challenges by leveraging cutting edge technologies. If you seek a workplace where your contributions are truly appreciated, then SDS is the company for you. Join us today to work alongside fellow development specialists and become a crucial part of our dynamic and cohesive community.
Job Title: Senior Machine Learning Ops Engineer
Location: Cincinnati, OH preferred; Remote USA (EST hours) accepted
Top Skills Must Have
- 4+ years of experience in MLOps, with expertise in Google Cloud Platform (GCP) and Vertex AI
- Strong proficiency in Python and experience with ML frameworks: TensorFlow, PyTorch, scikit-learn
- Experience designing and supporting CI/CD pipelines for ML workflows
- Hands-on with infrastructure-as-code (IaC) (Terraform, Cloud Deployment Manager, or similar)
- Deep understanding of model deployment, monitoring, and observability
Nice to Have - Exposure to Microsoft Azure or hybrid-cloud ML solutions
- Familiarity with Kubernetes and custom container deployment for ML workloads
- Prior experience supporting recommendation engines or large-scale ML platforms
- Experience leading initiatives and mentoring junior engineers
What You’ll Do We are seeking a highly skilled
Senior MLOps Engineer to design, scale, and maintain the
Google Vertex AI platform supporting Kroger’s multi-model recommendation engine. In this role, you’ll build
reusable infrastructure, pipelines, and tooling that empower data science and engineering teams to independently deploy and monitor their models.
You’ll partner closely with data scientists, ML engineers, and product teams to ensure models are deployed quickly, safely, and with strong observability. This role is central to delivering
enterprise-grade ML services that support personalization, recommendations, and customer engagement.
Key Responsibilities - Design and maintain reusable templates and modules for model training, deployment, and monitoring.
- Build and evolve CI/CD pipelines for ML workflows, supporting rapid experimentation and safe production releases.
- Develop tooling for monitoring model performance, drift, latency, and alerting.
- Manage and evolve the feature store, model registry, and endpoint management for scalable inference.
- Collaborate with domain teams to onboard models, enforce SLAs, governance, and rollback/versioning strategies.
- Support self-service capabilities by providing platform tooling and guidance.
- Ensure integration of models with enterprise services while meeting compliance and governance requirements.
- Partner with leadership to define ML platform standards and communicate technical solutions effectively.
Qualifications - Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
- 4+ years of MLOps experience with ML deployment, monitoring, and scaling in production
- Strong Python development skills
- Proficiency in GCP, Vertex AI, and exposure to Azure or hybrid-cloud ML environments
- Hands-on with open-source ML frameworks (TensorFlow, PyTorch, scikit-learn)
- Excellent communication and cross-team collaboration skills
What You'll Get SDS, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws.
- Competitive base salary
- Medical, dental, and vision insurance coverage
- Optional life and disability insurance provided
- 401(k) with a company match and optional profit sharing
- Paid vacation time
- Paid Bench time
- Training allowance offering
- You'll be eligible to earn referral bonuses!
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