We are looking for an experienced AI/ML Architect with robust expertise in AIOps, Conversational AI, NLP/NLU, LLMs and GenAI to lead enterprise AI/ML initiatives from design through deployment.
Key Responsibilities:
Design and develop AI/ML solutions for AIOps, anomaly detection, clustering, classification, event correlation and capacity prediction.
Lead development of Conversational AI, chatbots and virtual assistants.
Leverage LLMs, GenAI, NLP and NLU for enterprise use cases.
Define conversational flows, intents and entities and integrate bots with APIs, databases and backend systems.
Work with business stakeholders to identify and solve complex problems using AI/ML.
Lead end-to-end AI/ML projects and provide technical guidance on GenAI/LLM best practices.
Mandatory Skills:
10–15 years of AI/ML experience in enterprise environments.
Robust hands-on experience in AIOps, Machine Learning and Anomaly Detection.
5+ years in Conversational AI / chatbot design and development.
Solid Python skills with Pandas, NumPy, TensorFlow or similar frameworks.
Expertise in NLP, NLU, LLMs and GenAI.
5–7 years of DevOps/SRE experience.
Experience with Splunk, Prometheus, Grafana and/or Datadog.
Strong experience with REST APIs, web services and system integration.
Excellent analytical, troubleshooting, communication and stakeholder-management skills.
Preferred: Candidates with experience building Slackbots, Smart Answers and AI-driven infrastructure monitoring solutions will be highly preferred.