Chief AI Architect

3 days ago

Palakkad, Kerala, India beBeeArtificial Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
AI Innovator

Job Summary:

We are seeking an AI Innovator to join our team, responsible for designing and developing advanced machine learning models that generate high-quality content.

Key Responsibilities:
  • Develop and train generative AI models for text, image, and audio generation.
  • Collaborate with cross-functional teams to deliver robust AI solutions.
  • Conduct research to stay updated on the latest advancements in generative AI and apply best practices to improve model performance.
  • Implement scalable machine learning pipelines for training and deploying models in production environments.
  • Evaluate and fine-tune models to ensure they meet performance, accuracy, and efficiency standards.
  • Perform data preprocessing, augmentation, and annotation to prepare high-quality datasets for model training.
  • Troubleshoot and resolve issues related to model performance, data quality, and integration with other systems.
Required Skills and Qualifications:
  • Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
  • Proven experience in developing and deploying generative AI models using frameworks such as TensorFlow, PyTorch, or similar.
  • Strong programming skills in Python and proficiency with machine learning libraries and tools.
  • Familiarity with natural language processing (NLP), computer vision, and other relevant AI techniques.
  • Experience with cloud platforms such as AWS, Google Cloud, or Azure for model deployment and management.
  • Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
  • Excellent problem-solving skills and the ability to work independently and as part of a team.
  • Strong communication skills to effectively convey technical concepts to non-technical stakeholders.
Benefits:
  • Opportunity to work on cutting-edge AI projects.
  • Collaborative and dynamic work environment.
  • Ongoing training and professional development opportunities.
  • Competitive salary and benefits package.
Others:
  • Experience with GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and other advanced generative models.
  • Understanding of ethical considerations and bias mitigation in AI systems.
  • Contributions to open-source projects or publications in relevant conferences/journals.
  • Experience with MLOps practices and tools for continuous integration and deployment of machine learning models.

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