About Us:
Portcast is a venture-backed, Singapore-based logistics technology startup building a real-time transportation visibility platform for global supply chains. We help shippers, manufacturers, and logistics service providers turn data into decisions — and decisions into measurable business impact.
Our platform goes beyond visibility. Portcast enables action at scale by surfacing the right risks early, helping teams prevent detention and demurrage, accelerate exception management, and close invoices faster with built-in evidence. We turn visibility into outcomes: reduced costs, improved operational control, and more predictable supply chains.
Founded in 2018 and backed by leading technology investors, we are building for an industry at a critical inflection point of digital transformation. Our team of software engineers, data scientists, and logistics experts is on a mission to make supply chains not just visible, but decisively actionable — end to end.
About the role:
We are looking for a Senior Machine Learning Engineer who specializes in deploying ML and AI models into production. You will handle the full lifecycle—from research and model building to deployment and scaling in real-world environments. This hands-on role requires designing robust algorithms that address key business problems, particularly in visibility, prediction, demand forecasting, and freight audit. Your focus will be on ensuring model accuracy, reliability, and scalability in production systems.
What You’ll Do:
Develop and deploy machine learning models from initial research to production, ensuring scalability and performance in live environments.Own the end-to-end ML pipeline, including data processing, model development, testing, deployment, and continuous optimization.Design and implement machine learning algorithms that address key business problems that our product focuses on in visibility, prediction, demand forecasting and freight audit.Ensure reliable and scalable ML infrastructure, automating deployment and monitoring processes using MLOps best practices.Perform feature engineering, model tuning, and validation to ensure that models are production-ready and optimized for performance.Build, test, and deploy real-time prediction models, maintaining version control and performance tracking.
To thrive in this role, you must have:
Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field.5+ years of experience in building, deploying, and scaling machine learning models in production environments.Experience deploying Generative AI models in production environments, with a strong understanding of Retrieval-Augmented Generation (RAG), AI Agents, and expertise in prompt engineering techniquesProven experience with the full product lifecycle, taking models from R&D to deployment in fast-paced environments.Experience working in a product-based company, preferably within a startup environment with early-stage technical product development.Strong expertise in Python and SQL, along with experience in cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).Experience with real-time data processing, anomaly detection, and time-series forecasting in production.Experience working with large datasets and big data technologies like Spark and Kafka to build scalable solutions.First-principles thinking and excellent problem-solving skills, with a proactive approach to addressing challenges.A self-starter mentality, with the ability to take ownership of projects from end to end and work autonomously to drive results.Excellent communication skills, with the ability to convey complex technical concepts and a strong customer-obsessed mindset.
What's In It For You:
Globally distributed, remote-first flexibility: Work with a fully distributed team across Asia and Europe, built on trust, accountability, and collaboration. Our diversity of perspectives fuels innovation and keeps us curious.Tech-first team: You’ll work with like-minded individuals who share a passion for solving difficult problems using technology.Accelerated growth: Compress the learning curve in a couple of years by owning the web app from day one as your own baby. We are building our company to be the next B2B market leader in predictive global supply chains and you’ll be a major part of our story. Impact you can see: With a lean structure, your work is effective from the start. You’ll see the results of your ideas and decisions directly moving the business forward.
Our CORE Values Guide Everything We Do:
Curiosity: We stay hungry to learn and explore.Ownership: We act like founders and take responsibility.Raising the bar: We aim higher, never settling for “good enough.”Effective: We focus on impact and outcomes that matter.
Join us at Portcast and be part of a high performing team that is shaping the future of the logistics and shipping industry through cutting-edge predictive analytics!
