Generative AI Engineer

4 weeks ago

Gurugram, India Publicis Re:Sources Full time

About the Company: We are seeking a Generative AI Engineer with 2 to 4 years of experience in working with vector databases, embeddings, machine learning, and tools like OpenAI to train and deploy AI models. You’ll play a crucial role in building AI solutions that leverage advanced model training techniques and large-scale data embeddings.


About the Role: Develop and deploy generative AI models using vector databases and embedding techniques for applications such as text, image, or audio generation. Work with vector databases to store and retrieve high-dimensional data efficiently. Use machine learning frameworks to train models and fine-tune them for specific use cases. Collaborate with the team to integrate OpenAI models and APIs into various projects. Research and implement state-of-the-art machine learning techniques to optimize model performance. Ensure models are scalable, efficient, and meet quality standards. Analyze large-scale data sets to create high-quality embeddings for use in various machine learning models. Stay updated with the latest advancements in generative AI, embeddings, and model training.


Responsibilities:


  • Develop and deploy generative AI models using vector databases and embedding techniques for applications such as text, image, or audio generation.
  • Work with vector databases to store and retrieve high-dimensional data efficiently.
  • Use machine learning frameworks to train models and fine-tune them for specific use cases.
  • Collaborate with the team to integrate OpenAI models and APIs into various projects.
  • Research and implement state-of-the-art machine learning techniques to optimize model performance.
  • Ensure models are scalable, efficient, and meet quality standards.
  • Analyze large-scale data sets to create high-quality embeddings for use in various machine learning models.
  • Stay updated with the latest advancements in generative AI, embeddings, and model training.


Qualifications: Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, or a related field.


Required Skills:


  • 2 to 4 years of experience with machine learning models and model training techniques.
  • Strong knowledge of vector databases (e.g., Elastic Vector, Pinecone, FAISS), vector search and embedding techniques.
  • Experience working with OpenAI APIs, Langchain, Prompt Engineering and integrating GPT models into applications.
  • Proficiency in Python, Fast API is preferred and popular ML libraries like TensorFlow or PyTorch.
  • Hands-on experience with training models and working with large datasets.
  • Familiarity with cloud Azure for model deployment.
  • Strong problem-solving skills and the ability to work on cutting-edge AI technologies.
  • Hands-on experience on Azure Databricks and pipeline.

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