Chief AI Architect

14 hours ago

Kozhikode, Kerala, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

About our AI projects

We are working on cutting-edge technologies like LLMs, Retrieval-Augmented Generation (RAG), and AI agents to power growth for businesses.

  • Our goal is to enable 100,000+ businesses with WhatsApp engagement and marketing.
  • With our technology, we exchange 400 Crores+ WhatsApp messages between businesses and users per year.
  • We work with top brands and have a high impact as businesses drive 25-80% revenues using our platform.
  • We are a mission-driven and growth-stage startup backed by investors.
Job Overview:

We are looking for a Senior Machine Learning Engineer to lead the development and deployment of cutting-edge AI/ML systems.

The successful candidate will work closely with cross-functional teams to translate business needs into AI solutions, bringing expertise in building scalable ML infrastructure, deploying models in production, and staying at the forefront of AI innovation.

Key Responsibilities:

AI & ML System Development:

  • Design, develop, and optimize end-to-end ML models using LLMs, transformer architectures, and custom RAG frameworks.
  • Fine-tune and evaluate generative and NLP models for business-specific applications such as conversational flows, auto-replies, and intelligent routing.
  • Lead prompt engineering and build autonomous AI agents capable of executing multi-step reasoning.

Infrastructure, Deployment & MLOps:

  • Architect and automate scalable training, validation, and deployment pipelines using tools like MLflow, SageMaker, or Vertex AI.
  • Integrate ML models with APIs, databases, and production services ensuring performance, reliability, and traceability.
  • Monitor model performance in real-time, and implement A/B testing, drift detection, and re-training pipelines.

Data & Feature Engineering:

  • Work with structured, unstructured, and semi-structured data (text, embeddings, chat history).
  • Build and manage vector databases and graph-based retrieval systems.
  • Ensure high-quality data ingestion, feature pipelines, and scalable pre-processing workflows.

Team Collaboration & Technical Leadership:

  • Collaborate with product managers, software engineers, and stakeholders to align AI roadmaps with product goals.
  • Mentor junior engineers and establish best practices in experimentation, reproducibility, and deployment.
  • Stay updated on the latest in AI/ML and drive innovation in applied use cases.

Why Work with Us?

  • Build AI that powers growth for businesses.
  • Work on cutting-edge technologies in real production environments.
  • High ownership, fast iterations, and impact-focused work.

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