Software Engineer - AI/ML
Core
Build scalable AI/ML solutions for Supply Chain, Operations, Forecasting, Optimization, and Vision-based use cases, taking models from experimentation to production deployment.
Role type
Senior IC Data Scientist (ML & Generative AI)
Builds
Production ML models, GenAI applications, and Computer Vision solutions for supply chain and operations
Domain
Supply Chain, Operations, Retail, Manufacturing, Logistics
Deliverable
production ML models
Required skills
Python, SQL, PyTorch, TensorFlow, Transformers, CNNs, LLMs, RAG, Prompt Engineering, Vector Databases, OpenCV, XGBoost, LightGBM, Time-series modeling, Feature Engineering, MLOps
Preferred skills
Domain expertise in Supply Chain/Retail/Manufacturing, Production-grade RAG, Multimodal AI, Optimization/Operations Research, Large-scale Forecasting, Responsible AI practices
Technologies
PyTorch, TensorFlow, LangChain, LlamaIndex, Semantic Kernel, Docker, Kubernetes, MLflow, AWS, Azure, GCP, Databricks, Spark, Snowflake, OpenCV, YOLO
Responsibilities
Design and develop machine learning models for classification, regression, forecasting, and optimization; Develop deep learning solutions using neural network architectures; Build GenAI applications leveraging LLMs with techniques like RAG and agentic AI; Develop and deploy computer vision solutions for image classification, object detection, and OCR; Collaborate with engineering teams to deploy ML solutions into production via APIs and batch pipelines
Seniority
Senior, hands-on IC