This role is with Portcast, a startup supported by SGInnovate.
Background
Portcast is Singapore-based B2B SaaS platform providing real time vessel and container visibility, tracking and dynamic predictive analytics for LSPs, LogTech, Shippers & BCOs. We’re focused on building the next-gen visibility platform to predict how cargo moves across the world and enable data-driven decisions. 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 a team of ambitious industry experts, data storytellers and passionate engineers. We offer 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.
By leveraging proprietary machine learning algorithms and real-time external market data, Portcast empowers its clients achieve real-time visibility, reduce operational costs and improve customer experience, thereby improving supply chain profitability. Our proprietary data analytics engine is custom-designed for the logistics industry.
Job scope
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 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).
- Familiarity 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. If you are passionate about sales, innovation, and the Japanese market, we want to hear from you!
Interested candidates may apply directly at: https://central.sginnovate.com/hub/marketplace/openings/1a86453d-0b9c-4d70-9bf0-e6ccd723b666
Job Type: Full-time
Pay: $6,000.00 - $8,000.00 per month
Schedule:
- Monday to Friday
Work Location: Hybrid remote in Singapore 118258
This role is with Portcast, a startup supported by SGInnovate.
Background
Portcast is Singapore-based B2B SaaS platform providing real time vessel and container visibility, tracking and dynamic predictive analytics for LSPs, LogTech, Shippers & BCOs. We’re focused on building the next-gen visibility platform to predict how cargo moves across the world and enable data-driven decisions. 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 a team of ambitious industry experts, data storytellers and passionate engineers. We offer 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.
By leveraging proprietary machine learning algorithms and real-time external market data, Portcast empowers its clients achieve real-time visibility, reduce operational costs and improve customer experience, thereby improving supply chain profitability. Our proprietary data analytics engine is custom-designed for the logistics industry.
Job scope
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 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).
- Familiarity 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. If you are passionate about sales, innovation, and the Japanese market, we want to hear from you!
Interested candidates may apply directly at: https://central.sginnovate.com/hub/marketplace/openings/1a86453d-0b9c-4d70-9bf0-e6ccd723b666
Job Type: Full-time
Pay: $6,000.00 - $8,000.00 per month
Schedule:
- Monday to Friday
Work Location: Hybrid remote in Singapore 118258