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Machine Learning Engineer Divelement Web Services. Location Information: Mexico - Remote. . We’re looking for a . Machine Learning Engineer. with strong experience in . Google Cloud Platform (GCP). to support a fast-paced, 12-week engagement focused on migrating an existing . sales forecasting model. to modern, scalable infrastructure using . native GCP services. like . Vertex AI, BigQuery, Dataflow. , and . Composer. . . . If you love optimizing ML workflows and working on impactful data science problems using cloud-native tools, we want to hear from you!. . HOW WE WORK. . We are a remote-first, cross-functional team focused on building high-quality software through collaboration, agility, and innovation. Our development approach emphasizes: . . ✅ Daily commits to ensure rapid iteration and continuous improvement.. ✅ Autonomous problem-solving, with a bias toward action.. ✅ Honest and constructive feedback, fostering a culture of learning.. ✅ Agile methodology, with short, incremental development cycles.. . WHO YOU ARE. . You are a . hands-on ML engineer. with practical experience migrating models and workflows into production-ready GCP environments. . . You’re a strong communicator, comfortable working independently in short, high-impact cycles. . . You know how to break down complex workflows into scalable, maintainable . pipelines. . . . You’re passionate about using . cloud-native services. to build elegant machine learning solutions.. . Tasks. . 🔁 . Migrate a Sales Forecasting Model. – Transition an existing model to GCP using Vertex AI for training/deployment.. 🔧 . Build Scalable Pipelines. – Use . Dataflow. for data transformations and . Composer (Airflow). for orchestration.. 🧠 . Leverage BigQuery. – Integrate and query large-scale datasets to support model inputs and reporting.. 🚀 . Productionize ML Workflows. – Ensure the new infrastructure is reliable, automated, and ready for ongoing business use.. 🤝 . Collaborate Closely. – Work alongside data scientists and stakeholders to ensure functional and business alignment.. . Requirements. . ✅ 4+ years of professional experience in ML engineering or data science roles.. ✅ Hands-on expertise with . GCP native services. : . Vertex AI, BigQuery, Dataflow, Composer (Airflow). .. ✅ Strong Python skills and familiarity with modern ML libraries (e.g., scikit-learn, TensorFlow, XGBoost).. ✅ Experience productionizing ML models and building robust data pipelines.. ✅ Strong problem-solving skills and ability to work independently under tight timelines.. ✅ Excellent communication skills and a collaborative mindset.. . Benefits. . 💲 USD Salary Compensation. 🌍 100% Remote Work – Work from anywhere!. 📊 A High-Impact Project – Get in, make a difference, and ship something meaningful in 12 weeks.. 🧠 Cross-Functional Exposure – Collaborate with engineers, data scientists, and business stakeholders.. 💼 Career Visibility – Work with an agile consultancy that values speed, skill, and autonomy.. . READY TO APPLY?. . If you’re a Machine Learning Engineer looking for a . focused, remote, and high-impact contract. , we’d love to work with you on this 12-week challenge. Apply now and help us bring a powerful sales forecasting model into the cloud with Divelement! 🌤️📈. .