AI Summary
Join Nyuway as a Senior AI/ML Engineer to develop and deploy AI security solutions. Work on building production-grade services, training ML models, and optimizing inference. Collaborate with backend and product teams to integrate models and improve system reliability.
Key Highlights
Build production-grade services using Python and FastAPI
Train and fine-tune ML models for classification, ranking, and anomaly detection
Optimize inference and ensure system reliability
Technical Skills Required
Benefits & Perks
Work from anywhere (India)
Full-time employment
Job Description
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 LinkedIn Jobs.