Ai Ml Engineer

Role & responsibilities

Position Title

Job Overview

We are seeking a talented and experienced AI/ML Engineer specializing in Conversational AI to design, develop, and deploy intelligent chatbots. The ideal candidate will possess a deep understanding of Natural Language Processing, memory-enhanced neural architectures, and generative AI techniques to build state-of-the-art conversational systems.

Key Responsibilities

• Design and develop AI-driven chatbots with context retention and memory capabilities.
• Implement state-of-the-art SLM models and fine-tune pre-trained transformers like LLaMA, GPT, Mistral, or BERT.
• Develop custom solutions for context-aware responses, user-specific personalization, and interaction flow management.
• Integrate chatbots into various platforms, ensuring seamless deployment and scalability.
• Utilize advanced machine learning models like LSTMs, MANNs, or reinforcement learning to enhance conversational capabilities.
• Monitor chatbot performance, analyze user interactions, and iteratively improve the models.
• Collaborate with UI/UX teams to deliver user-friendly conversational interfaces.
• Optimize ML pipelines for model training, versioning, and deployment using MLOps best practices.
• Document workflows, research findings, and technical architecture.

Required Skills

• Strong expertise in Python, with knowledge of data cleaning and preparation libraries for text extraction.
• Hands-on experience with NLP tools and frameworks (e.g., SpaCy, Hugging Face Transformers, or AllenNLP).
• Proficiency in conversational AI platforms (e.g., Amazon Lex or Microsoft Bot Framework).
• Knowledge of contextual and memory-based architectures in AI.
• Experience with cloud services for ML training and deployment on AWS SageMaker.
• Excellent problem-solving, analytical thinking, and communication skills.