Job
Description
Senior Machine Learning Engineer Experience: 5 - 8 Years Exp Salary : SGD 48,000-84,000 / year Preferred Notice Period : Within 30 Days Shift : 09:00AM to 06:00PM IST Opportunity Type: Remote Placement Type: Contractual Contract Duration: Full-Time, Indefinite Period (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Generative AI models, LLM, rag, AWS, GCP, Machine Learning, Python, SQL Good to have skills : Spark, Docker, Kafka, Kubernetes Portcast (One of Uplers' Clients) is Looking for: Senior Machine Learning Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description 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 lifecyclefrom 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 Youll 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: Bachelors, Masters, 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 Engagement Type: Direct-hire Job Type: Permanent Location: Remote Working time: 9:00 AM to 6:00 PM IST Interview Process - 1.Technical Interview 2. Assessment 3. Panel Interview 4. Final CEO Round How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Portcast is a Software-as-a-Service (SaaS) company that provides real-time transportation visibility and predictive analytics for global supply chains. Their platform offers solutions such as real-time container tracking, predictive estimated times of arrival and departure, and port congestion insights, aiming to enhance supply chain efficiency and sustainability. Portcast primarily serves businesses, including logistics service providers, shippers, manufacturers, and logistics technology companies, indicating a business-to-business (B2B) focus About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!
