Casino Cash Trac

Casino Cash Trac

Casino Cash Trac offers a comprehensive platform designed specifically for casinos, integrating cash management, analytics, and operational intelligence to enhance efficiency and decision-making across various departments.

Internet Software & Services
Founded 2012

Description

  • Design, build, and maintain reproducible model training workflows on AWS using services such as SageMaker, S3, and Glue.
  • Deploy and operate real-time and batch inference services with CI/CD pipelines, versioning, and safe rollout strategies such as canary, shadow, and A/B deployments.
  • Monitor production models for performance, data drift, latency, errors, and data quality, and automate retraining when models drift beyond acceptable thresholds.
  • Maintain model lineage, auditability, and traceability to support compliance, governance, and reporting requirements in a regulated industry.
  • Enforce secure ML platform practices, including least-privilege IAM, encryption, and secure data access patterns.
  • Optimize infrastructure and manage cost as a core engineering metric while preserving reliability.
  • Collaborate with engineers, data scientists, and product stakeholders to translate business problems into ML solutions and communicate tradeoffs clearly.
  • Continuously evaluate new AWS services, ML frameworks, and deployment patterns to improve reliability, observability, and developer velocity.

Requirements

  • 3+ years of experience in machine learning engineering, MLOps, or a closely related discipline.
  • Hands-on experience with AWS ML and data services, including SageMaker, S3, Lambda, Step Functions, CloudWatch, and MWAA (Apache Airflow).
  • Experience working with time series data, including feature engineering, seasonality handling, and temporal train/test splits.
  • Strong Python skills and familiarity with common ML frameworks such as scikit-learn, PyTorch, and XGBoost, or equivalent.
  • Experience building and maintaining CI/CD pipelines for ML systems.
  • Demonstrated ability to monitor and debug production ML systems, including latency, drift, errors, and data quality, and drive issues to root cause.
  • Comfort with SQL and working with structured data at scale.
  • Ability to work collaboratively across teams and communicate clearly with both technical and non-technical stakeholders.
  • Track record of self-directed learning and technical growth in areas such as AWS, ML frameworks, or deployment patterns.
  • Preferred: experience in a regulated industry such as gaming, finance, or healthcare where auditability, explainability, and compliance are important.
  • Preferred: familiarity with feature stores, model registries, or ML metadata tools such as MLflow or SageMaker Model Registry.
  • Preferred: experience with infrastructure-as-code tools such as Terraform, CDK, or CloudFormation.
  • Preferred: exposure to data drift detection libraries or custom drift monitoring implementations.

Interested in this position?

Apply directly on the company website

Apply Now

Similar Roles

Senior Machine Learning Engineer - Personalization

Spotify Media

Senior Machine Learning Engineer on Spotify’s Personalization team, building recommendation systems that power music experiences like Home and Now Playing for millions of listeners.

Agile Apache Spark AWS GCP Generative AI Hugging Face Java LLM Machine Learning Python PyTorch Scala Statistics Transformers
3 hours, 24 minutes ago

Senior Software Engineer (Typescript / FrontEnd) - AI/ML

ClickHouse 51-250 IT Services

ClickHouse is hiring a Senior Software Engineer to build AI/ML-powered features for ClickHouse Cloud, connecting its high-performance database platform with end-to-end AI integrations and user-facing experiences.

AWS Azure ClickHouse GCP JavaScript Python React TypeScript
6 hours, 40 minutes ago

Senior AI Platform Engineer

Wellhub 1-10 Gas Utilities

Wellhub is hiring a Senior AI Platform Engineer in Brazil to help build and evolve the cloud-native ML development platform that enables engineers and data scientists to develop and deploy AI at scale.

Apache Spark AWS CI/CD Kubeflow Kubernetes MLOps Python Terraform
7 hours, 43 minutes ago

Senior Software Engineer (Typescript / FrontEnd) - AI/ML

ClickHouse 51-250 IT Services

ClickHouse is hiring a Senior Software Engineer to build AI/ML-powered features for ClickHouse Cloud, connecting its high-performance database platform with production AI capabilities across the backend and user interface.

AWS Azure ClickHouse GCP JavaScript Python React TypeScript
11 hours, 2 minutes ago

You're on a roll! Sign up now to keep applying.

Sign Up

Already have an account? Log in

Used by 14,729+ remote workers