Advanced Artificial Intelligence Architect

7 days ago

Lucknow, Uttar Pradesh, India beBeeMachine Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

About Us

We are a cutting-edge AI platform that enables businesses to grow their revenues via WhatsApp.

  • Our platform empowers 100,000+ businesses with WhatsApp engagement and marketing
  • 400 Crores+ WhatsApp messages exchanged between businesses and users per year
  • We work with top brands in various industries
  • Our high-impact platform helps businesses drive 25-80% revenues
  • We are a mission-driven and growth-stage startup backed by top investors
Job Overview

We are seeking an experienced Senior Machine Learning Engineer to lead the development and deployment of advanced AI/ML systems.

You will work closely with cross-functional teams to design and implement AI solutions that meet business needs.

Your expertise in building scalable ML infrastructure, deploying models in production, and staying up-to-date with AI innovation is essential for this role.

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 (e.g., Pinecone, Weaviate) 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 (LLMs, diffusion models, multi-modal learning), and drive innovation in applied use cases.

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