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5 days ago
About us:We are a generative AI security platform that helps enterprises adopt AI responsibly.Our mission is to protect AI workflows from data exposure, mitigate prompt vulnerabilities, and enforce compliance policy in real time.Job DescriptionLocation: India (Remote)Employment Type: Full-time, RemoteExperience Level: 2–3 YearsWe prefer early joiners who can join in less than 1 weekKey ResponsibilitiesBuild production-grade services in the request/response path using Python/FastAPI with low latency, reliability, and observability.Train, fine-tune, and evaluate ML models for classification, ranking, and anomaly detection; improve accuracy with solid feature engineering and error analysis.Profile and optimize inference (CPU/GPU), use batching/quantization/ONNX where useful, and keep latency within service level objectives.Build robust data/ML pipelines for training and inference (Python + SQL), with versioned datasets, deterministic preprocessing, and schema validation.Design fair comparisons, select metrics (AUC/F1/PR-AUC/MAE), run ablations, and document decisions; automate tracking with machine learning platforms.Packaged and shipped models/services using Docker and FastAPI; add health checks, logging/metrics, and CI/CD pipelines.Set up drift/performance monitoring, alerting, and shadow-enforce rollouts with safe rollback paths.Partner with backend/product teams to integrate models; write clear READMEs, design notes, and runbooks.Required Skills and Qualifications2–3 years of experience in Data Science, Applied Machine Learning, or Large Language Model-based product development.Proficient in Python and comfortable writing SQL for data exploration or tagging workflows.Solid understanding of natural language processing concepts (Transformers, Attention, Tokenization, Fine-tuning).Hands-on experience with large language model APIs, LangChain, and vector databases.Exposure to evaluation and red-teaming of large language models for safety or robustness.Basic familiarity with Streamlit, Dash, or simple HTML/JS for building internal tools.Experience deploying machine learning systems using Docker, FastAPI, or continuous integration/continuous deployment pipelines in a startup or research setting is preferred.How to ApplySend your resume and a brief note on why you want to work with us to jobs@nyuway.ai or apply via our website.
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