remote
AI Researcher - arnata
Research Engineer
Lead cutting‑edge AI research for logistics, developing advanced models in Python and deep learning frameworks to optimize supply chain operations.
About the role
Key Responsibilities
- Design, prototype, and evaluate novel AI models for logistics optimization, including demand forecasting, route planning, and inventory management.
- Conduct rigorous experiments, analyze results, and publish findings in top-tier conferences and journals.
- Collaborate with data engineers to build scalable pipelines for large‑scale logistics datasets.
- Translate research insights into production‑ready solutions, ensuring robustness and efficiency.
- Mentor junior researchers and contribute to a culture of continuous learning and innovation.
Requirements
- PhD or equivalent experience in Computer Science, Machine Learning, or related field.
- Proficiency in Python and deep learning libraries (TensorFlow, PyTorch).
- Strong background in NLP, computer vision, or related AI subfields.
- Experience with large‑scale data processing and cloud platforms (AWS, GCP).
- Excellent communication skills and a track record of publishing impactful research.
Skills
pythonmachine learningdeep learningtensorflowpytorchnlpcomputer vision