AI/ML Engineer

About the Role

We are looking for a hands-on AI & ML Lead to design, build, and scale our conversational

voice and chat bot platform leveraging the latest advancements in LLMs, speech

technologies, and tools like OpenAI speech to speech models, Eleven Labs, Twilio,

and AWS. As the AI & ML Lead, you will drive the end-to-end AI strategy and lead the

development. you’ll work closely with cross-functional teams to architect, fine-tune,

deploy, and optimize AI systems at scale.

Key Responsibilities

• Lead the design and development of LLM-based AI models

• Integrate voice APIs and platforms (e.g., Twilio, Exotel, ElevenLabs) for

seamless call handling and speech workflows.

• Implement Retrieval-Augmented Generation (RAG) to improve response

relevance and accuracy.

• Deploy and manage AI models on cloud infrastructure (AWS/GCP/Azure)

• Establish MLOps practices, model monitoring, and version control.

• Stay updated on GenAI trends, LLM research, and speech tech advancements

Required Qualifications

• 4+ years of hands-on AI/ML experience, with a strong focus on NLP, LLMs, and

conversational AI.

• Proven expertise in fine-tuning and deploying large language models (e.g.,

GPT, OpenAI models, BERT).

• Strong understanding of ASR, speech recognition, & text-to-speech (TTS)

• Proficiency in Python and ML frameworks like TensorFlow or PyTorch.

• Experience with cloud-based AI deployments (AWS/GCP/Azure).

• Knowledge of RAG techniques, vector databases, and real-time inference

pipelines.

• Strong problem-solving skills and experience leading AI/ML teams or projects