Senior Lead AI/ML Engineer - R01573662

We help businesses define digital transformation objectives and turn them into actionable market strategies.

Location: Bangalore, Karnataka, India
Company size: 5,000–10,000
Posted: Today
Via: Lever

Section II · Full ProfileFree with an account

01Comp band & equity packageLocked
02Seniority & experience requirementsLocked
03Interview process & rubricLocked
04Headcount & which departments are hiringLocked
05Growth trajectory in this roleLocked
06Offer & decision timelineLocked

Read the full brief Sign in

Free · 2 minutes · the funding and stack behind this role

Job listing · Posted 13 NOV 2026

Senior Lead AI/ML Engineer - R01573662

Brillio· Bangalore, Karnataka, IndiaView company profile

Job title: Senior Lead AI/ML Engineer - R01573662
Job location: Bangalore, Karnataka, India
Job listing URL: https://jobs.lever.co/brillio-2/f73dd26c-a7d3-45cb-aa0f-1191d9c90adc
Job description: Senior Lead AI/ML Engineer
Primary Skills
Dialogue Design, Syntax and semantic analysis, Reinforcement learning, Text Classification, Governance for Conversational AI, RASA, Natural Language Understanding (NLU), Kore.ai, GDF (Google Dialog Flow), IBM Watson, Automatic Speech Recognition (ASR), Dialogue Management (NLG), Spark NLP, Recurrent Neural Networks, Conv AI Testing
Specialization
Conversational AI: Senior Data Scientist
Job requirements
Experience Range: With at least 5-8 years of experience in data science, including 2 years specifically in conversational AI technologies and agentic AI development Key Responsibilities: 1. Evaluate agent output results and EVal tests to ensure accuracy and relevance in conversational AI applications 2. Design and execute functional and AI quality testing, including grounding, unsupported-response, contradiction, and scenario validation 3. Develop and optimize AI models for dialogue management, syntax and semantic analysis, and reinforcement learning 4. Collaborate with engineering and product teams to define AI deployment paths and integrate agentic AI solutions into production environments 5. Implement governance frameworks for conversational AI to maintain compliance and quality standards 6. Utilize platforms such as RASA, Kore.ai, Google Dialog Flow, and IBM Watson to build and refine conversational agents 7. Apply advanced text classification and natural language understanding techniques to enhance AI translation and conversation capabilities 8. Conduct scenario-based validation and troubleshooting to continuously improve conversational AI performance Required Skills: 1. Hands-on experience with RASA 2. Proficiency with Natural Language Understanding (NLU) 3. Experience with Google Dialog Flow 4. Working knowledge of Kore.ai 5. Familiarity with IBM Watson for conversational AI 6. Strong proficiency in syntax and semantic analysis using Python or relevant libraries 7. Experience with reinforcement learning algorithms (e.g., Q-learning, policy gradients) 8. Advanced text classification techniques (e.g., transformers, BERT, LSTM) 9. Experience in dialogue design for conversational AI platforms Preferred Skills: 1. Experience with Automatic Speech Recognition (ASR) integration 2. Advanced skills in Natural Language Generation (NLG) 3. Proficiency in Spark NLP for text processing 4. Hands-on experience with Recurrent Neural Networks (RNNs) 5. Background in conversational AI testing methodologies and scenario validation Desired Qualifications: 1. Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a closely related discipline 2. Certification in Machine Learning, Natural Language Processing, or Conversational AI from recognized institutions 3. Relevant certification in conversational AI platforms such as RASA or Google Dialog Flow