Machine Learning Engineer
Innovate the future of logistics by developing ML models for optimization, forecasting and automation.
About the role
Innovate the future of shipping by developing ML models for optimization, forecasting and automation. Architect and deploy AI services powering real-time visibility and prescriptive insights.
- Build ML models using TensorFlow, PyTorch
- Containerize models and serve via APIs
- Implement MLOps and CI/CD pipelines
- Collaborate with data scientists and product teams
Why Logistiqs
Join our team to work at the intersection of AI and supply chain management. Enable intelligent, transparent and efficient logistics powered by machine learning.
Requirements
Join our team to work at the intersection of AI and supply chain management. Enable intelligent, transparent and efficient logistics powered by machine learning.
- Strong Python, TensorFlow/PyTorch skills
- Experience with kubernetes, docker
- Cloud platform knowledge (AWS/GCP/Azure)
- Strong statistics, algebra, calculus fundamentals
Requirements
Join our team to work at the intersection of AI and supply chain management. Enable intelligent, transparent and efficient logistics powered by machine learning.
- Strong Python, TensorFlow/PyTorch skills
- Experience with kubernetes, docker
- Cloud platform knowledge (AWS/GCP/Azure)
- Strong statistics, algebra, calculus fundamentals