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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** The Intersect Group - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Big Data, BigQuery, Cloud Engineering, Information Engineering, Data Transformation, Programming Tools, Monitoring of Systems, Python (Programming Language), Network Troubleshooting, Machine Learning, Performance Tuning, Google Cloud, Cloud Monitoring, Performance Monitor, Machine Learning Operations, Data Pipelines - **Published:** August 31, 2026 - **Apply:** https://www.dice.com/job-detail/91a15138-9e97-40f8-88f7-dcf7257cd5c8 ## About the Role * 3+ years of experience building, deploying, and supporting production machine learning solutions * Strong hands on experience implementing MLOps principles, methodologies, and best practices * Proven expertise with Google Cloud Platform and cloud based machine learning environments * Strong experience with Vertex AI for model development, deployment, orchestration, and monitoring * Proficiency with Python, BigQuery, Cloud Monitoring, and modern machine learning development tools * Experience building and managing automated machine learning pipelines in enterprise environments * Knowledge of model monitoring, performance optimization, observability, and machine learning lifecycle management * Strong communication, collaboration, analytical thinking, and problem solving skills Preferred Qualifications * Experience with Dataform and data transformation workflows * Exposure to data engineering concepts, data pipelines, and large scale data processing environments * Experience supporting enterprise scale machine learning platforms and initiatives * Familiarity with supply chain, fulfillment, logistics, delivery, or operational analytics use cases * Experience working within Agile development environments and cross functional teams * Knowledge of cloud architecture, automation, and platform engineering best practices What You'll Work On * Smart Fulfillment initiatives * Supply Chain optimization programs * Express Delivery solutions ## Description We are seeking a Machine Learning Engineer to join a growing MLOps team focused on building, deploying, and supporting production grade machine learning solutions at scale. This role offers the opportunity to work across a diverse portfolio of initiatives while helping drive the adoption and operationalization of machine learning throughout the organization. In this role, you will partner closely with Data Scientists, Data Engineers, and business stakeholders to bring machine learning models into production and ensure they deliver measurable business value. You will design scalable ML pipelines, implement monitoring and observability practices, and continuously improve the reliability and performance of machine learning systems across multiple business domains. Key Responsibilities * Design, develop, and maintain end to end machine learning pipelines for production environments * Deploy, monitor, and optimize machine learning models to ensure scalability, reliability, and performance * Build automated workflows supporting model training, validation, deployment, and lifecycle management * Track model performance, drift, and operational metrics while implementing proactive monitoring solutions * Collaborate with Data Scientists and Data Engineers to productionize machine learning solutions * Implement observability and monitoring practices for machine learning platforms and services * Support multiple machine learning initiatives across various business functions and use cases * Troubleshoot system issues and continuously improve the efficiency, scalability, and stability of ML infrastructure ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [Effective Machine Learning - Managing Complexity with MLOps](https://www.wearedevelopers.com/videos/185-effective-machine-learning-managing-complexity-with-mlops) - [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) ## 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) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)