Lead AI Architect

2 days ago

Kolkata, West Bengal, India beBeeGenerative Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
Senior AI Innovator

We're seeking a visionary Senior AI Innovator to spearhead the development of cutting-edge generative AI solutions.

Key Responsibilities
  • Solution Architecture: Lead the design and architecture of GenAI solutions using LLMs and advanced conversational AI frameworks.
  • Model Development: Fine-tune LLMs and SLMs using techniques like PEFT, LoRA, and QLoRA for domain-specific use cases.
  • Open-Source Frameworks: Build GenAI solutions using tools like Hugging Face, LangChain, LangGraph, and AutoGen.
  • GCP Expertise:
  • Design and deploy scalable AI solutions using GCP services such as Vertex AI, BigQuery, AI Platform, and Cloud Functions.
  • Optimize model performance, cost-efficiency, and reliability within GCP environments.
  • Integration and Deployment:
  • Integrate generative AI models into enterprise systems and applications.
  • Coding and Development: Write clean, maintainable Python code for GenAI applications
  • Data Preprocessing: Build and maintain data pipelines for training and fine-tuning models.
  • Model Evaluation: Evaluate model performance using relevant metrics and benchmarks; iterate to improve outcomes.
  • Prototyping:
  • Rapidly prototype GenAI applications to demonstrate capabilities.
  • Showcase solutions to stakeholders for feedback and iteration.
  • Drive innovation through fast experimentation and proof-of-concept development.
Requirements
  • Bachelor's, Master's, or PhD in Computer Science, AI, Electrical Engineering, or Applied Mathematics.
  • 15–18 years of experience in software architecture and AI/ML systems.
  • Expert-level experience with Google Cloud Platform (GCP), and strong expertise in Microsoft Azure and Amazon Web Services (AWS) for deploying, monitoring, and optimizing AI workloads across cloud environments.
  • Proficiency in Python, with deep knowledge of ML/DL frameworks like PyTorch and TensorFlow.
  • Experience in fine-tuning and deploying LLMs using modern techniques and tools.
  • Familiarity with MLOps platforms and workflows (MLFlow, Kubeflow, Airflow).
  • Excellent communication and leadership skills, with the ability to influence cross-functional teams and drive innovation.

In this role, you will have the opportunity to collaborate with a talented team of professionals and contribute to the development of innovative AI solutions that transform industries. We are committed to fostering a culture of diversity, equity, and inclusion and welcome applicants from all backgrounds.

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