Job Description

As an ML Scientist at OptIQ, you will: - Develop, train, and deploy state-of-the-art Generative AI and NLP models to enhance AI-driven security solutions. - Design and optimize AI-Copilot models that assist users in formulating security policies, detecting threats, and responding to risks using natural language. - Build scalable and production-ready ML pipelines for handling large-scale structured and unstructured security data. - Work on NLP-based classification, summarization, and anomaly detection algorithms to improve data security insights. - Develop AI-driven automation and intelligent workflows that help organizations enforce robust security policies. - Collaborate with Data Engineers, Security Experts, and DevOps teams to integrate ML models into production environments. This role offers the chance to work on cutting-edge technologies, drive impactful solutions, and be a pivotal part of a company that is transforming the data security market. What You ll Bring Experience: 1-5 years in Data Engineering Role. Technical Expertise: - Generative AI: Experience with LLMs (GPT, Llama, Claude, or similar) and fine-tuning pre-trained models for security use cases. - AI-Copilot Development: Familiarity with building AI-assistants or AI-driven copilots for enterprise applications. - NLP & Deep Learning: Strong expertise in transformer models (BERT, T5, Llama, etc.), text classification, summarization, and Named Entity Recognition (NER). - ML Frameworks: Proficiency in TensorFlow, PyTorch, Hugging Face, LangChain, or OpenAI APIs. - Data Processing & Feature Engineering: Experience handling large-scale datasets using Spark, Dask, or Pandas. - ML Deployment & MLOps: Hands-on experience with MLflow, Docker, Kubernetes, and cloud-based AI services (AWS Sagemaker, Azure AI, GCP Vertex AI). - Programming Languages: Proficiency in Python and familiarity with SQL for data querying.n. Mindset: - Entrepreneurial spirit with a "get-things-done" attitude and a commitment to delivering high-quality solutions. - Comfort working in an unstructured, fast-paced startup environment. - Passion for solving complex problems and driving innovation in a high-growth company. Education: B.Tech in Computer Science or equivalent.