Cutting-Edge AI Security Solutions Engineer

1 week ago

kurnool, India beBeeMachineLearning Full time

About this role is a unique opportunity to contribute to the development of cutting-edge AI security solutions. We are looking for an experienced Machine Learning Engineer who can help us build and deploy production-grade services using Python/FastAPI with low latency, reliability, and observability.The successful candidate will be responsible for building robust data/ML pipelines for training and inference (Python + SQL), with versioned datasets, deterministic preprocessing, and schema validation.Key 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 SLOs (p50/p95).Packagemodels/services using Docker and FastAPI; add health checks, logging/metrics, and CI/CD (GitHub Actions/Jenkins).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.The ideal candidate should have 2–3 years of experience in Data Science, Applied ML, or LLM-based product development.The following skills are required: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.

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