ML Developer With Cybersecurity

About The Role

The ML/LLM Developer will be responsible for designing, developing, and maintaining advanced machine learning and large language model solutions for our network security initiatives. This role requires strong expertise in NLP, deep learning frameworks, and fine-tuning LLMs while collaborating closely with the Data Scientist Lead and Data Engineer to ensure seamless integration into production systems.

Key Responsibilities

• Develop and maintain machine learning and LLM-based solutions for network security
• Implement and optimize Retrieval-Augmented Generation (RAG) systems
• Design and refine prompt engineering strategies for diverse use cases
• Apply clustering algorithms and other ML techniques for threat detection and analysis
• Collaborate with cross-functional teams to enhance model accuracy and efficiency
• Research and integrate the latest advancements in ML and LLM technologies
  
  

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field
• 3–5 years of experience in machine learning development with focus on NLP and LLMs
• Strong programming skills in Python
• Expertise in deep learning frameworks (TensorFlow, PyTorch)
• Hands-on experience with Hugging Face Transformers and other LLM tools
• Proficiency in implementing and fine-tuning large language models
• Knowledge of RAG systems and vector databases (Faiss, Pinecone)
• Experience with NLP libraries (NLTK, spaCy)
• Understanding of scaling ML workloads
• Proven experience with ML/LLM fine-tuning techniques
  
  

• Familiarity with privacy-preserving machine learning techniques
• Experience with explainable AI methods
• Exposure to deploying ML models in production environments