AI Model Architect

2 weeks ago

Vadodara, Gujarat, India beBeeGenerativeAiEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Are you an expert in building and deploying cutting-edge generative AI solutions?

Do you have a strong foundation in machine learning and a passion for innovation?

We are seeking a talented Generative AI Engineer to join our team, responsible for designing, building, and deploying state-of-the-art generative AI models using the latest LLMs and frameworks.

Job Description

As a Generative AI Engineer, your primary responsibility will be to develop and implement advanced AI algorithms and models that can generate human-like text, images, and other forms of content. You will work closely with cross-functional teams to integrate these models into various applications and services.

Your role will involve:

  • Designing and developing novel AI models and algorithms that can learn from large datasets and generate high-quality output.
  • Implementing and optimizing these models using popular deep learning frameworks such as PyTorch and Hugging Face Transformers.
  • Collaborating with data scientists and engineers to ensure seamless integration of AI models into production environments.
  • Evaluating and improving model performance using quantitative and qualitative metrics.
Required Skills and Qualifications

To be successful in this role, you will need:

  • Strong background in machine learning, deep learning, and computer vision.
  • Proficiency in programming languages such as Python, C++, and Java.
  • Familiarity with popular deep learning frameworks like PyTorch and TensorFlow.
  • Experience with cloud platforms such as Azure, AWS, and GCP.
  • Excellent problem-solving skills and ability to work independently.
Benefits

We offer a dynamic and collaborative work environment, competitive compensation package, and opportunities for growth and professional development.

Preferred Skill Sets

Prior experience with the following technologies is highly desirable:

  • RAG (Retrieval-Augmented Generation)
  • Vector DBs (FAISS, Pinecone, Weaviate)
  • Streamlit/Gradio for prototyping
  • Docker, Kubernetes (for model deployment)

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