Job
Description
As an AI Engineer specializing in large language models (LLMs) and machine learning, your role will involve integrating LLMs, developing agentic workflows, and optimizing ML models to enhance cybersecurity investigation, prioritization, and response. You will work on building intelligent systems within a cloud security platform to improve alert prioritization, classification, and contextualization, ultimately enabling faster decision-making processes. Key Responsibilities: - Build, fine-tune, and integrate large language models (LLMs) into existing systems. - Develop agentic workflows for investigation, classification, and automated response in cybersecurity. - Apply techniques like retrieval-augmented generation (RAG) and fine-tuning for domain-specific tasks. - Design, implement, and optimize ML models for prioritization, ranking, clustering, anomaly detection, and classification. - Collect, preprocess, and transform structured and unstructured data for model training. - Engineer features to enhance model interpretability and performance. - Train and evaluate models using rigorous metrics and deploy them into production at scale. - Collaborate with cross-functional teams to build end-to-end solutions and document workflows for knowledge sharing. Qualifications Required: - Bachelors/Masters degree in Computer Science, AI/ML, Data Science, or related field. - 5+ years of experience in ML/AI, with 3+ years deploying production-grade systems. - Strong knowledge of machine learning algorithms and proficiency in LLM frameworks and APIs. - Hands-on experience in Python programming with frameworks like PyTorch and TensorFlow. - Knowledge of NLP tasks and experience with recommendation systems or reinforcement learning is a plus. - Proven track record of deploying ML/AI models into production environments and familiarity with cloud platforms and containerization. - Understanding of MLOps best practices and strong problem-solving skills. - Excellent communication, teamwork, and ability to work in a fast-paced startup environment. For more details, you can contact rajeshwari.vh@careerxperts.com. As an AI Engineer specializing in large language models (LLMs) and machine learning, your role will involve integrating LLMs, developing agentic workflows, and optimizing ML models to enhance cybersecurity investigation, prioritization, and response. You will work on building intelligent systems within a cloud security platform to improve alert prioritization, classification, and contextualization, ultimately enabling faster decision-making processes. Key Responsibilities: - Build, fine-tune, and integrate large language models (LLMs) into existing systems. - Develop agentic workflows for investigation, classification, and automated response in cybersecurity. - Apply techniques like retrieval-augmented generation (RAG) and fine-tuning for domain-specific tasks. - Design, implement, and optimize ML models for prioritization, ranking, clustering, anomaly detection, and classification. - Collect, preprocess, and transform structured and unstructured data for model training. - Engineer features to enhance model interpretability and performance. - Train and evaluate models using rigorous metrics and deploy them into production at scale. - Collaborate with cross-functional teams to build end-to-end solutions and document workflows for knowledge sharing. Qualifications Required: - Bachelors/Masters degree in Computer Science, AI/ML, Data Science, or related field. - 5+ years of experience in ML/AI, with 3+ years deploying production-grade systems. - Strong knowledge of machine learning algorithms and proficiency in LLM frameworks and APIs. - Hands-on experience in Python programming with frameworks like PyTorch and TensorFlow. - Knowledge of NLP tasks and experience with recommendation systems or reinforcement learning is a plus. - Proven track record of deploying ML/AI models into production environments and familiarity with cloud platforms and containerization. - Understanding of MLOps best practices and strong problem-solving skills. - Excellent communication, teamwork, and ability to work in a fast-paced startup environment. For more details, you can contact rajeshwari.vh@careerxperts.com.
