Senior Machine Learning Engineer
P
PortcastLogistics Technology
Globally distributed, remote-first flexibility: Work with a lean, distributed team across Asia and EuropeFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- At least 5+ years
- Required Skills
- AWSDockerPythonSQLGCPKubernetesMachine LearningAzureLLMMLOps
Requirements
- Bachelor's, Master's, or PhD in Computer Science, Engineering, or a related field.
- At least 5+ years of end-to-end experience building, deploying, and scaling machine learning models in production environments.
- Hands-on experience productionizing LLM-based systems (versioning, prompt management, evaluation harnesses, and monitoring).
- Proven experience across the full product lifecycle in fast-paced or startup environments.
- Strong expertise in Python and SQL.
- Experience with cloud platforms such as AWS, GCP, or Azure.
- Proficiency in containerization tools such as Docker and Kubernetes.
- Familiarity with real-time data processing, anomaly detection, and time-series forecasting.
- Experience with big data technologies like Spark and Kafka.
- Strong first-principles thinking and problem-solving skills with a proactive, autonomous work style.
Responsibilities
- 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.
- Work directly with product and customer-facing teams to turn loosely defined business problems into shipped technical features.
- Design and implement machine learning algorithms addressing visibility, prediction, demand forecasting, and freight audit.
- Ensure reliable, scalable ML infrastructure by automating deployment and monitoring using MLOps best practices.
- Perform feature engineering, model tuning, and validation to ensure models are production-ready.
- Build, test, and deploy real-time prediction models while maintaining version control and performance tracking.
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