AI Systems Developer

5 hours ago

Nashik, Maharashtra, India beBeeMachine Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
**Job Title:** Senior AI EngineerA highly skilled and motivated Senior AI Engineer with deep expertise in large language models (LLMs) and machine learning.
**Job Description:** We are seeking a seasoned Senior AI Engineer to work at the intersection of LLM-driven automation, workflow orchestration, and classical ML models. The successful candidate will combine technical knowledge with hands-on experience building intelligent, production-ready systems that improve cybersecurity investigations, prioritization, and response.
**Key Responsibilities:
  • ">
  • Build, fine-tune, and integrate large language models into existing systems.
  • Develop agentic workflows for investigation, classification, and automated response.
  • Apply techniques like Retrieval-Augmented Generation (RAG), prompt engineering, and fine-tuning.
  • Design, implement, and optimize ML models for prioritization, ranking, clustering, anomaly detection, and classification.
  • Collect, preprocess, and transform structured and unstructured data.
  • Engineer features to maximize model interpretability and performance.
  • Train and evaluate models using rigorous metrics.
  • Optimize hyperparameters and deploy ML and LLM models at scale into production.
  • Collaborate with data scientists, ML engineers, security researchers, and software teams to build end-to-end solutions.

**Requirements:**
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  • 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.
  • Solid programming skills in Python.
  • Knowledge of NLP tasks such as text classification, summarization, and semantic search.
  • Experience with cloud platforms, containerization, and MLOps best practices.
  • Strong problem-solving, analytical, and communication skills.

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