About Nyuway :
Nyuway is a generative AI security platform that helps enterprises adopt AI responsibly. We protect AI workflows from data exposure, mitigate prompt vulnerabilities, and enforce compliance policy in real time.
Role Description
- Location : India (Work from Anywhere)
- Employment Type : Full-time, Remote
- Experience Level : 2–3 Years
- Early Joiners who can join in less than 1 week are preferred
Key Responsibilities
Build production-grade services in the request / response path using Python / FastAPI with low latency, reliability, and observability.Model development : Train, fine-tune, and evaluate ML models for classification, ranking, and anomaly detection; improve accuracy with solid feature engineering and error analysis.Efficiency & reliability : Profile and optimize inference (CPU / GPU), use batching / quantization / ONNX where useful, and keep latency within SLOs (p50 / p95).Pipelines & data : Build robust data / ML pipelines for training and inference (Python + SQL), with versioned datasets, deterministic preprocessing, and schema validation.Experimentation : Design fair comparisons, select metrics (AUC / F1 / PR-AUC / MAE), run ablations, and document decisions; automate tracking with MLflow / W&B (or similar).MLOps : Package and ship models / services using Docker and FastAPI; add health checks, logging / metrics, and CI / CD (GitHub Actions / Jenkins).Monitoring : Set up drift / performance monitoring, alerting, and shadow→enforce rollouts with safe rollback paths.Collaboration & docs : Partner with backend / product teams to integrate models; write clear READMEs, design notes, and runbooks.Required Qualifications
2–3 years of experience in Data Science, Applied ML, or LLM-based product development.Proficient in Python and comfortable writing SQL for data exploration or tagging workflows.Solid understanding of NLP concepts (Transformers, Attention, Tokenization, Fine-tuning).Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.), LangChain, and vector databases (FAISS, Pinecone, Chroma).Exposure to evaluation and red-teaming of LLMs for safety or robustness.Basic familiarity with Streamlit, Dash, or simple HTML / JS for building internal tools.(Preferred) Experience deploying ML systems using Docker, FastAPI, or CI / CD pipelines in a startup or research setting.How to Apply
Send your resume and a brief note on why you want to join Nyuway to contact@nyuway.ai
or apply via Jobs.