Description

You will design, build, and operate conversational AI agents, developing the core intelligence for task-oriented systems.

Responsibilities

• Design, build, and operate Conversational AI agents featuring multi-turn dialog, intent recognition, and context management.
• Develop NLP pipelines for intent classification, entity extraction (NER), slot filling, and dialog state tracking.
• Train, fine-tune, and evaluate deep learning models, including transformers, for domain-specific tasks.
• Build and maintain ETL/ELT pipelines, Hive-based data pipelines, and big data workflows using Spark, Hadoop, and Kafka.
• Deploy AI/ML systems on cloud platforms (AWS, GCP, Azure) using Docker/Kubernetes and monitor model performance in production.

Required Skills

• Expert proficiency in Python for AI/ML, NLP, and backend services.
• Strong SQL skills, including working directly with Hive tables.
• Hands-on experience with machine learning and deep learning frameworks (PyTorch, TensorFlow, Scikit-learn).
• Deep knowledge of NLP concepts: tokenization, embeddings, intent detection, NER, and transformers.
• Experience with large-scale data processing using Spark, Hadoop, and Kafka for ETL/ELT.
• Proficiency in cloud deployment and MLOps practices: Docker, Kubernetes, CI/CD, and model versioning.
• Demonstrated understanding of model training, testing, validation, and error analysis.
• Minimum 5+ years of professional experience in a relevant engineering role.

Preferred Skills

• Experience with enterprise Conversational AI platforms.
• Familiarity with multi-agent orchestration frameworks.

Key Skills

Education

Bachelor's or Master's degrees