> Markdown version of [/jobs/ext/1071949-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/1071949-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Machine Learning Engineer

- **Company:** RIVAGO INFOTECH INC.
- **Location:** Scottsdale, AZ, United States
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Computer Programming, Continuous Integration, Extract Transform Load (ETL), Distributed Systems, Github, Python (Programming Language), Machine Learning, Performance Tuning, Tensorflow, Azure Machine Learning, Data Ingestion, Pytorch, Gitlab-ci, Scikit Learn, Kubernetes, Machine Learning Operations, Software Version Control, Data Pipelines, Jenkins
- **Published:** June 9, 2026
- **Apply:** https://www.dice.com/job-detail/d59a1a50-5555-4ba7-843c-85f066b5b4fa

## About the Role

* Strong programming skills in Python
 * Experience with ML frameworks: TensorFlow, PyTorch, Scikit-learn
 * Hands-on experience with MLOps tools: MLflow, Kubeflow, Airflow, SageMaker, Azure ML
 * Knowledge of CI/CD tools: Jenkins, GitHub Actions, GitLab CI
 * Experience with cloud platforms: AWS
 * Strong understanding of data pipelines, ETL processes, and distributed systems

## Description

* Design and implement end-to-end ML pipelines from data ingestion to model deployment
 * Build and manage CI/CD pipelines for ML models (training, testing, deployment)
 * Automate model monitoring, retraining, and performance optimization
 * Collaborate with Data Scientists and Data Engineers for productionizing ML models
 * Ensure scalability, reliability, and security of ML systems
 * Manage model versioning, experiment tracking, and lifecycle management
 * Implement best practices for governance, compliance, and reproducibility


## Related Videos

- [The Road to MLOps: How Verivox Transitioned to AWS](https://www.wearedevelopers.com/videos/1050-the-road-to-mlops-how-verivox-transitioned-to-aws)
- [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding)
- [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next)
- [DevOps for Machine Learning](https://www.wearedevelopers.com/videos/179-devops-for-machine-learning)
- [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models)
- [Our GitOps approach for deploying an Identity Provider and an API Gateway in a SaaS company](https://www.wearedevelopers.com/videos/776-our-gitops-approach-for-deploying-an-identity-provider-and-an-api-gateway-in-a-saas-company)

## Related Articles

- [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)