About the job
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.
Requirements
- Machine Learning
- Deep Learning
- Python
- Cloud AI Platforms
- MLOps
Preferred Technologies
- Machine Learning
- Deep Learning
- Python
- Cloud AI Platforms
- MLOps
About the company
Iris Software, one of India’s fastest-growing IT services companies, offers compelling opportunities within an award-winning culture that fosters innovation and personal growth. Their services cover complex technology-enabled transformations across various sectors.
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