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Must-Have Skills
.Generative AI & ML: Machine Learning, Deep learning, LLMs, fine-tuning, prompt engineering.
.Programming & Data: Python, PyTorch/TensorFlow, data preprocessing, API integration, data visualization.
.MLOps & Deployment: MLflow, cloud AI platforms (Databricks/AWS/GCP/Azure).
.Communication & Problem-Solving: Translating logistics challenges into AI solutions, cross-team collaboration.
Good-to-Have Skills
.Advanced GenAI: Multi-modal and agentic AI, synthetic data generation.
.Domain Knowledge: Logistics operations (routing, forecasting, warehouse & fleet management).
.Optimization & Simulation: Reinforcement learning, digital twins, operations research.
.Data Engineering: ETL pipelines, data lakes, Spark/Databricks.
.Cloud & DevOps: CI/CD for ML, data security, and compliance.
.Soft Skills: Innovation mindset, stakeholder engagement, clear documentation.
Required Skills & Experience:
. 5 years of hands-on experience with Python, Cloud AI Platform (Databricks / AWS / GCP / Azure).
. Proven experience in building MLflow
. Expertise in Machine Learning, Deep learning, LLMs, fine-tuning, prompt engineering
. Strong analytical and problem-solving skills.
. Good communication and documentation abilities.
Perks and Benefits for Irisians
Iris provides world-class benefits for a personalized employee experience. These benefits are designed to support financial, health and well-being needs of Irisians for a holistic professional and personal growth. Click to view the benefits.
A strategic partner that transformational leaders can trust to realize the full potential of technology-enabled transformation.As a trusted technology partner, we focus our highly-experienced talent and rightsized teams to develop complex, mission-critical applications and solutions for leading enterprise across financial services, life sciences, including pharmaceutical, CROs and medical devices, manufacturing & logistics and educational services.
Job ID: 131962781