ChatGPT Jobs · 8 hours ago
Senior Machine Learning Engineer
Akron, OH
Full-time
Hybrid
Mid, Senior Level
$115K/yr - $130K/yr
3+ years expSignet Jewelers Ltd. is seeking a hands-on Senior Machine Learning Engineer to operationalize advanced models across various AI use cases. The role focuses on ensuring that models developed by Data Science teams are production-ready, performant, and scalable, while also implementing best practices in MLOps.
Computer Software
Responsibilities
Design, build, and automate production-grade data pipelines to support elasticity, uplift, and other analytical models
Implement clean, reusable data transformation logic that ensures consistency across modeling, analytics, and reporting layers
Develop and maintain real-time inference services (e.g., AWS SageMaker endpoints) to allow business teams and applications to consume model outputs seamlessly
Establish MLOps best practices, including:
Model performance monitoring and drift detection
Automated retraining and evaluation pipelines
Feature / model versioning and lineage tracking
Enable CI/CD for ML deployments, ensuring reliability, reproducibility, and rapid iteration
Partner with Data Science teams to accelerate experimentation and automate recurring workflows
Identify and drive automation opportunities across the broader AI & Data Science ecosystem to improve scalability, reliability, and cost efficiency
Qualification
Required
Design, build, and automate production-grade data pipelines to support elasticity, uplift, and other analytical models
Implement clean, reusable data transformation logic that ensures consistency across modeling, analytics, and reporting layers
Develop and maintain real-time inference services (e.g., AWS SageMaker endpoints) to allow business teams and applications to consume model outputs seamlessly
Establish MLOps best practices, including: Model performance monitoring and drift detection, Automated retraining and evaluation pipelines, Feature / model versioning and lineage tracking
Enable CI/CD for ML deployments, ensuring reliability, reproducibility, and rapid iteration
Partner with Data Science teams to accelerate experimentation and automate recurring workflows
Identify and drive automation opportunities across the broader AI & Data Science ecosystem to improve scalability, reliability, and cost efficiency
Bachelor's or Master's degree in Computer Science, Data Engineering, Applied ML, or equivalent experience
3-6 years of industry experience in ML Engineering or MLOps
Strong programming skills in Python (pandas, PySpark, FastAPI, etc.)
Experience building and managing ETL/ELT pipelines
Hands-on experience deploying ML systems on AWS (SageMaker, Lambda, ECS/EKS, S3, Kinesis/Streams, etc.)
Experience with CI/CD tools (GitHub Actions, CodePipeline, Jenkins, etc.)
Familiarity with monitoring and observability for ML (model drift, feature drift, inference latency, cost monitoring)
Preferred
Experience in retail analytics - such as demand forecasting, pricing, promotions, inventory optimization, customer segmentation, or e-commerce metrics - is highly preferred
Experience with containerization & orchestration (Docker, Kubernetes) is a plus
Experience building data products or ML-powered APIs that expose predictions or insights back to business applications
Experience with feature stores (SageMaker Feature Store / Feast)
Experience supporting batch + real-time inference workloads
Benefits
Medical
Dental
Vision
Retirement
PTO
Comprehensive healthcare, dental, and vision insurance - with benefits active on day 1 of employment
Generous 401(k) matching after just one year
Ample paid time off, plus seven holidays
Exclusive discounts on premium merchandise
Dynamic Learning & Development programs
Company
ChatGPT Jobs
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2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase