Role Overview: As the AI & ML Lead, you will spearhead the development of our conversational AI system

You will define the technical strategy, lead model design and implementation, and work on large language models (LLMs) to fine-tune, deploy, and optimize human-like conversational agents

This role involves hands-on development, collaboration with cross-functional teams, and leveraging tools such as OpenAI and cloud systems like AWS for scalable AI deployments

Key Responsibilities:

Lead the end-to-end development of AI models for a conversational human-like calling agent

Define and implement ML and LLM model architectures tailored to our requirements

Fine-tune pre-trained models (eg BERT, GPT, OpenAI models) and integrate Retrieval-Augmented Generation (RAG) techniques to enhance response accuracy and relevance

Have good understanding of integrating voice APIs such as Twilio, Vonage etc

Collaborate on data preparation, feature engineering, and model training workflows

Deploy models on cloud infrastructure (eg AWS, GCP, Azure) and continuously optimize for performance, accuracy, and scalability

Leverage OpenAI and similar tools for model innovation, experimentation, and fine-tuning

Stay updated on the latest trends in NLP, ML, and AI to integrate current advancements

Mentor junior team members and guide research into new AI technologies

Qualifications:

6+ years of hands-on experience in AI/ML, with a strong focus on natural language processing (NLP), large language models (LLMs),



and tools like OpenAI

Proven expertise in designing, fine-tuning, and deploying machine learning models (preferably conversational AI)

Experience with Retrieval-Augmented Generation (RAG) techniques for improving model responses

Strong coding skills in Python, TensorFlow, PyTorch, or similar frameworks

Experience with cloud-based AI solutions (eg AWS, GCP, Azure) for deploying and scaling models

Familiarity with speech recognition, dialogue systems, and human-computer interaction technologies

Solid understanding of MLOps practices, including model versioning, monitoring, and CI/CD pipelines

Exceptional problem-solving skills and the ability to lead technical initiatives

Preferred:

Experience building conversational agents or voice-based AI systems

Exposure to OpenAI models and tools, with experience in utilizing GPT-based models

Understanding of data privacy regulations and ethical AI considerations

Why Join Us:

Work on a highly impactful AI project that will redefine customer interactions

Collaborate with a passionate, skilled team in a dynamic and fast-paced environment

Opportunity for growth and leadership in a rapidly evolving AI landscape

Disclaimer: This job posting & Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Lead Software Engineer AI and ML (Noida)
🏢 University Living Accommodation
📍 Noida