Lead a talent-dense, US-based team focusing on ML and AI to automate workflows.
Integrate advanced AI and ML solutions into the product.
Architect, build, and scale ML models and AI-driven solutions using frameworks like TensorFlow or PyTorch.
Lead the full lifecycle of AI features, from initial data engineering and model training to deployment within a cloud-native Azure environment.
Integrate predictive models and intelligent reporting systems into the core .NET/C# and CosmosDB ecosystem.
Implement and maintain robust CI/CD pipelines and monitoring via Azure Monitor for model performance, reliability, and fairness.
Partner with Product Managers to translate complex logistics challenges into technical roadmaps and actionable AI innovations.
PythonASP.NETElasticSearch+14 more
About Alvys
Alvys transforms the logistics industry with a cloud-native platform. You will build solutions that automate critical processes and integrate siloed technology. This helps businesses streamline operations and scale efficiently. Users see an average 22% increase in load volume in four months, without adding staff. You empower logistics companies to navigate complex supply chains with a modern, all-in-one solution. This boosts productivity and operational efficiency across the sector.
How We Work
Alvys champions a remote-first culture. You have the flexibility to work from where you are most productive. We operate with a blameless culture, focusing on root cause analysis over assigning blame. This fosters a safe environment for learning and growth. We believe in providing the strategies, support, and space you need to thrive. We are growing a diverse team of highly talented people.
Engineering at Alvys
You will build a world-class, multi-tenant SaaS platform from the ground up. This platform revolutionizes the $800 billion US transportation logistics industry. We integrate advanced AI and ML solutions into our product. This drives significant advancements in a crucial sector. We use a modern tech stack including .NET/C#, React, Flutter, and CosmosDB. You will architect, build, and scale ML models using frameworks like TensorFlow or PyTorch. You will ensure they are optimized for real-world transportation logistics. We deploy AI features within a cloud-native Azure environment. We also implement robust MLOps practices, including CI/CD pipelines and monitoring via Azure Monitor. Your work will involve optimizing freight transportation logistics. You will tackle complex problems and deliver innovative solutions.
Why Join Us
You will make a tangible impact on the movement of global goods.
You own the outcome, seeing your solutions from inception to maintenance.
You will harness AI/ML to solve challenging logistics problems.
You receive competitive equity, sharing in the company's success.
You will grow in a blameless culture that values learning and transparency.