Machine Learning Engineer

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

contact@nyuway.ai

or apply via LinkedIn Jobs.