Senior AI Architect

1 day ago

Bengaluru, Karnataka, India beBeeGenerative Full time ₹ 2,00,00,000 - ₹ 3,00,00,000

Job Title: Cloud Solutions Developer

Job Description:

  • Design and implement AI-driven solutions by leveraging cutting-edge techniques like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformers.
  • Develop expertise in architecting products/solutions using various cloud services from Azure, Google Cloud Platform (GCP), and Amazon Web Services (AWS).
  • Work on integrating the latest generative AI algorithms such as ChatGPT, Bedrock, Bard, and PaLM into our products and services.
  • Promote effective communication between cross-functional teams to define project requirements and objectives, ensuring alignment with overall business goals.
  • Stay updated on the latest advancements in Generative AI, machine learning, and deep learning techniques, identifying opportunities to integrate them into our products and services.
  • Optimize existing AI models for improved performance, scalability, and efficiency.
  • Develop and maintain comprehensive AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.

Required Skills and Qualifications:

  • Minimum 6 years of experience working on architecting AI/ML applications with at least one year experience in Generative AI.
  • Experience working as a lead architect. Lead/manager experience is not required but preferred.
  • Strong background developing and implementing generative AI models with a solid understanding of deep learning techniques such as GANs, VAEs, and Transformers.
  • Proficient in Python with experience using machine learning libraries and frameworks like TensorFlow, PyTorch, or Keras.
  • Familiarity with cloud-based platforms and services, including AWS, GCP, or Azure.
  • Experience with natural language processing (NLP) techniques and tools like SpaCy, NLTK, or Hugging Face.

Benefits:

  • Opportunities to work with the latest technologies and innovations in AI and ML.
  • Collaborative and dynamic work environment.
  • Continuous learning and professional growth opportunities.

Others:

  • SQL knowledge is desired.
  • Knowledge of Docker, Kubernetes, and API Integration is a plus.
  • Visio skills are an advantage.

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