Python ML /GenAI

Join a collaborative engineering team where you’ll build intelligent, reliable, and scalable ML/GenAI solutions using Python. In this role, you’ll work closely with product, data, and platform teams to take ideas from experimentation to production—turning models into real-world capabilities that improve user experiences and business outcomes. You’ll contribute to designing robust systems, optimizing model performance, and ensuring deployments are secure, observable, and maintainable. If you enjoy solving ambiguous problems, learning fast-moving GenAI techniques, and delivering practical NLP-driven features, this is a great opportunity to grow your impact while working in a supportive, high-ownership culture. Technical Requirements: • Primary skills:Technology->AI-Data science->Machine Learning,Technology->AI-Generative AI->Generative AI for Data Analytics,Technology->OpenSystem->Python - OpenSystem->Python Responsibilities: Key Responsibilities: • Develop and maintain Python-based ML/GenAI components for NLP use cases, from prototyping to production-ready implementations. • Build and fine-tune models using PyTorch, focusing on accuracy, latency, and resource efficiency. • Design data preprocessing and feature engineering workflows for text datasets, ensuring quality and reproducibility. • Implement evaluation strategies for NLP/GenAI outputs, track metrics, and iterate based on measurable results. • Collaborate with cross-functional teams to translate requirements into model/system designs and deliverables. • Troubleshoot model and pipeline issues, perform root-cause analysis, and improve system reliability. • Write clean, maintainable code with appropriate documentation, tests, and version control practices. Preferred Skills: Technology->OpenSystem->Python - OpenSystem->Python,Technology->AI-Data science->Machine Learning,Technology->AI-Generative AI->Generative AI for Data Analytics