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Senior Machine Learning Engineer

1 month, 3 weeks ago
India, Indonesia, Thailand, Vietnam, Bosnia and Herzegovina, Malaysia, Philippines, Singapore
Full-time
Senior
Machine Learning Engineer
Software Development
Apache Spark AWS Azure Docker Feature Engineering GCP Git Kafka Kubernetes LLM Machine Learning MLOps Python SQL
Apply Now
Portcast

Portcast

Portcast is a real-time and predictive transportation visibility platform that enhances supply chain efficiency and sustainability through AI-driven predictive data and accurate container tracking.

Professional Services
11-50
Founded 2017
$3M raised
View All Jobs 9

Description

  • Develop and deploy machine learning models from research through production.
  • Own the end-to-end ML pipeline, including data processing, model development, testing, deployment, and continuous optimization.
  • Work with product and customer-facing teams to turn loosely defined problems into shipped features.
  • Design and implement algorithms for visibility, prediction, demand forecasting, and freight audit use cases.
  • Build reliable and scalable ML infrastructure using MLOps best practices.
  • Perform feature engineering, model tuning, and validation to prepare models for production.
  • Build, test, and deploy real-time prediction models with version control and performance tracking.
  • Monitor, debug, and improve models after deployment to maintain reliability and scalability.

Requirements

  • Bachelor's, Master's, or PhD in Computer Science, Engineering, or a related field.
  • At least 5+ years of experience building, deploying, and scaling machine learning models in production.
  • Hands-on experience productionising LLM-based systems (preferred).
  • Experience designing AI agents, multi-step workflows, tool/function calling, and retrieval-based grounding on proprietary data (preferred).
  • Experience with prompt versioning, prompt management, evaluation harnesses, guardrails, and monitoring output quality, latency, and cost (preferred).
  • Proven experience taking models from R&D to deployment in fast-paced product environments.
  • Experience in a product-based company, preferably an early-stage startup.
  • Strong expertise in Python and SQL.
  • Experience with cloud platforms such as AWS, GCP, or Azure, plus Docker and Kubernetes.
  • Familiarity with real-time data processing, anomaly detection, time-series forecasting, Spark, and Kafka.

Benefits

  • Remote-first flexibility with a globally distributed team across Asia and Europe.
  • Real ownership from day one in a small team with minimal layers.
  • High visibility and direct business impact from your work.
  • A tech-first environment focused on solving hard problems with engineering and data.
  • A lean, collaborative team culture built on trust and accountability.

Interested in this position?

Apply directly on the company website

Apply Now

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