Advanced Artificial Intelligence Researcher

1 week ago

Shimoga, Karnataka, India beBeeAIAgents Full time US$ 1,20,000 - US$ 1,70,000

Large Language Model Engineering Opportunity


Job Description:

As a Large Language Model Engineer, you will play a key role in developing and integrating cutting-edge language models into our cybersecurity platform. You will work closely with data scientists, machine learning engineers, security researchers, and software teams to build end-to-end solutions that improve how alerts are prioritized, classified, and contextualized.


  • LLM Integration & Workflows: Build, fine-tune, and integrate large language models into existing systems to automate investigation, classification, and response.
  • Machine Learning Development: Design, implement, and optimize ML models for prioritization, ranking, clustering, anomaly detection, and classification using both classical models and modern architectures.
  • Data Preparation & Feature Engineering: Collect, preprocess, and transform structured and unstructured data, including logs, text, and access patterns to engineer features that maximize model interpretability and performance.
  • Model Training & Deployment: Train and evaluate models using rigorous metrics (precision, recall, AUC, F1, etc.). Optimize hyperparameters and deploy ML and LLM models at scale into production with strong monitoring, drift detection, and observability.

Required Skills and Qualifications:
  • A Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related field.
  • 5+ years of experience in ML/AI, with at least 3 years deploying production-grade systems.
  • Strong knowledge of machine learning algorithms for classification, clustering, ranking, and anomaly detection.
  • Proficiency with LLM frameworks and APIs (OpenAI, Hugging Face, LangChain, LlamaIndex).
  • Hands-on experience building workflow automation with LLMs and integrating them into applications.
  • Solid programming skills in Python (PyTorch, TensorFlow, scikit-learn).
  • Knowledge of NLP tasks such as text classification, summarization, and semantic search.
  • Experience with cloud platforms (AWS, GCP, Azure), containerization (Docker, Kubernetes), and MLOps best practices.
  • Strong problem-solving, analytical, and communication skills.

Join us in shaping the future of cybersecurity and AI


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