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AI Architect

2 weeks ago

Pune, Maharashtra, India beBeeArtificial Full time ₹ 6,00,000 - ₹ 8,00,000
Job Opportunity: AI Engineer

We are seeking a highly skilled and motivated AI engineer to join our team. This role combines deep technical knowledge in machine learning and artificial intelligence with hands-on experience building intelligent, production-ready systems that enhance cybersecurity investigation, prioritization, and response.

This role will work at the intersection of large language models-driven automation, workflow orchestration, and classical machine learning models to improve how alerts are prioritized, classified, and contextualized—reducing fatigue and enabling faster, more effective decision-making.

The successful candidate will directly influence the development of agentic AI systems, workflow automation, and recommendation engines within cloud security platforms.

Key Responsibilities:

  • LLM Integration & Workflows:
    • Build, fine-tune, and integrate large language models into existing systems.
    • Develop agentic workflows for investigation, classification, and automated response in cybersecurity.
    • Apply techniques like retrieval-augmented generation, prompt engineering, and fine-tuning for domain-specific tasks.
  • Machine Learning Development:
    • Design, implement, and optimize machine learning models for prioritization, ranking, clustering, anomaly detection, and classification.
    • Apply both classical forecasting models and modern architectures.
  • Data Preparation & Feature Engineering:
    • Collect, preprocess, and transform structured and unstructured data (including logs, text, and access patterns).
    • Engineer features to maximize model interpretability and performance.
  • Model Training, Evaluation, and Deployment:
    • Train and evaluate models using rigorous metrics.
    • Optimize hyperparameters and fine-tune LLMs for task-specific improvements.
    • Deploy machine learning/LLM models into production at scale with strong monitoring, drift detection, and observability.
  • Collaboration & Documentation:
    • Work closely with data scientists, machine learning engineers, security researchers, and software teams to build end-to-end solutions.
    • Document models, workflows, and pipelines for clarity, reproducibility, and knowledge sharing.

Requirements:

  • Bachelor's/Master's degree in Computer Science, AI/ML, Data Science, or a related field.
  • 5+ years of experience in ML/AI, including 3+ years deploying production-grade systems.
  • Experience contributing to publications (patents, libraries, or peer-reviewed papers) is a plus.