Gen AI Engineer

2 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

About The Role

We are seeking a talented and motivated Mid-Level Gen AI / AI Engineer to join our team. In this role, you will be responsible for designing, developing, and deploying innovative AI solutions, with a focus on generative AI and RAG architectures. You will work closely with cross-functional teams to bring cutting-edge AI products to market.

Key Responsibilities

  • Model Development and Fine-tuning:
    • Develop and fine-tune state-of-the-art generative AI models, such as large language models and image generation models.
    • Implement techniques for model optimization, including quantization, pruning, and knowledge distillation.
  • RAG Architecture:
    • Design and implement robust RAG architectures to enable efficient information retrieval and generation.
    • Integrate diverse data sources and knowledge bases into RAG systems.
    • Optimize query processing and response generation for optimal performance.
  • AI System Development:
    • Build scalable and reliable AI systems, including APIs, microservices, and data pipelines.
    • Collaborate with ML Ops engineers to deploy and manage AI models in production environments.
  • Experimentation and Innovation:
    • Stay up-to-date with the latest advancements in AI research and explore new techniques.
    • Conduct experiments to improve model performance and system efficiency.
    • Contribute to a culture of innovation and continuous learning.

Qualifications And Experience

  • Bachelor's degree in Computer Science, Computer Engineering, or a related field.
  • 2+ years of experience in AI/ML, with a focus on generative AI and RAG architectures.
  • Strong programming skills in Python and experience with deep learning frameworks (TensorFlow, PyTorch, etc.).
  • Strong and demonstratable skills in GenAI technologies, like OpenAI, Anthropic, or Llama
  • Hands-on experience with natural language processing (NLP), computer vision, and machine learning techniques.
  • Knowledge of cloud platforms (AWS, Azure, GCP) and their AI/ML services.
  • Excellent communication and problem-solving skills.
Skills: llama,cloud platforms (aws, azure, gcp),rag architectures,machine learning,tensorflow,python,pytorch,openai,natural language processing (nlp),models,generative ai,rag,computer vision,anthropic,aws

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