Machine Learning Engineer

Job Description :

Responsibilities :

- 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.

Requirements :

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.

- Mindset : Entrepreneurial spirit with a "get-things-done" attitude and a commitment to delivering high quality solutions.

- Comfortable working in an unstructured, fast-paced startup environment.

- Passion for solving complex problems and driving innovation in a high-growth company.