Generative AI Specialist

1 day ago

Bengaluru, Karnataka, India beBeeAI Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

We are seeking a skilled professional to architect, develop, and deploy production-grade AI systems.

Key Responsibilities
  • Data Science & Model Development: Design, build, and train Generative AI models using deep learning techniques.
  • Implement and fine-tune Large Language Models (LLMs) using custom datasets to meet specific business requirements.
  • Apply techniques such as Retrieval-Augmented Generation (RAG) and prompt engineering to enhance model performance and reduce latency.
Engineering & Preparation:
  • Architect and implement data pipelines for the ingestion, preprocessing, and transformation of large datasets.
  • Manage and optimize vector databases for efficient semantic search and information retrieval.
Development & Integration:
  • Develop robust, scalable applications that integrate Generative AI models using APIs and microservices.
  • Build prototypes and demonstrate proof-of-concepts (POCs) to technical and business stakeholders.
  • Ensure seamless integration of AI applications with existing enterprise systems.
MLOps & Innovation:
  • Deploy and manage AI models in production environments using MLOps principles.
  • Implement CI/CD pipelines for continuous integration and deployment of machine learning code.
  • Monitor model performance, latency, and resource utilization.
Expertise & Qualifications:
  • Expert-level proficiency in Python.
  • Strong experience with software engineering fundamentals, including object-oriented programming, data structures, and design patterns.
  • Deep understanding of deep learning frameworks such as PyTorch or TensorFlow.
  • Hands-on experience with Generative AI models (e.g., GANs, VAEs) and architectures (e.g., Transformers, diffusion models).
Preferred Skills:
  • Experience with cloud platforms for AI/ML (AWS SageMaker, Azure ML, or GCP Vertex AI).
  • Familiarity with MLOps tools like MLflow, Kubeflow, or DVC.
  • Experience with containerization technologies like Docker.
  • Experience with vector databases such as Pinecone, ChromaDB, or FAISS.

This is an exciting opportunity to leverage cutting-edge AI technology and drive innovation. If you have a passion for AI development and a strong desire to learn and grow, this could be your dream job.

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