Senior Machine Learning Engineer

Location
Flexible Hybrid (Office: the Hive Lavender) Job Function
Information Technology Employment Type
Full Time Position Level
Professional Education Level
Degree Min Yrs of Work Experience
5 Years Of Experience Number of Vacancies
1 Posted On
7 hours ago Expiring On
3 months Job Description Portcast is a venture-backed startup which predicts global trade flows to help logistics and shipping companies become more profitable. We are a predictive analytics company that offers a fast-paced, innovative environment where you will be empowered to sell our AI-product to C-level executives. We are customer-obsessed and are constantly working to provide our customers access to actionable and insightful data to build resilient supply chains
Based in Singapore, and backed by leading VCs and senior industry advisors, Portcast is a team of young tech and industry talent building a game-changing product for the logistics and shipping industry
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

Job Requirement 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 techniques Proven 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

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! About Portcast Pte. Ltd. Maritime Consultancy and Information Services

Portcast is a venture-backed Singapore based startup that develops predictive supply chain technology for the logistics industry. We’re focused on building the next-gen logistics operating system to predict how cargo moves across the world and enable data-driven supply chain planning. Based out of Singapore, we’ve been building together since 2018, and are backed by some of the major investors in the tech industry, we believe that the logistics industry is at the inflection point of large-scale digitization. We are excited to be a fast-growing team of software engineers, data scientists and industry experts. We are on a mission to bring end to end visibility to every supply chain globally. Our mission statement To be the most trusted information source for effective and sustainable supply chains.