Chief AI Model Developer

11 hours ago

Hyderabad Secunderabad Telangana, India beBeeGenerativeAI Full time US$ 1,50,000 - US$ 2,00,000
Job Title

Lead software engineer specializing in generative AI, responsible for developing and deploying advanced AI models.

Roles and Responsibilities
  • Design, develop, and deploy cutting-edge generative AI models using transformer architectures and deep learning techniques.
  • Work with large datasets, performing tasks such as data cleaning, preprocessing, and transformation to meet quality and relevance standards.
  • Collaborate with cross-functional teams to identify project objectives and create solutions using generative AI tailored to business needs.
  • Implement, fine-tune, and scale generative AI models in production environments, ensuring robust model performance and efficient resource utilization.
  • Develop pipelines and frameworks for efficient data ingestion, model training, evaluation, and deployment, including A/B testing and monitoring of generative models.
  • Stay informed about the latest advancements in generative AI research, techniques, and tools, applying new findings to improve model performance and usability.
  • Communicate technical specifications, algorithms, and project outcomes to technical and non-technical stakeholders, emphasizing explainability and responsible AI practices.
Required Skills and Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field. Relevant Ph.D. or research experience in generative AI is an advantage.
  • 8-12 years of experience in machine learning, with 2+ years in designing and implementing generative AI models or working specifically with transformer-based models.
  • Proficiency in programming languages such as Python, SQL; familiarity with libraries such as Hugging Face Transformers, PyTorch, TensorFlow.
  • Experience with MLOps, Docker, Kubernetes, MLflow, Cloud Platforms (AWS, GCP, Azure).
  • Strong understanding of data engineering concepts, including data preprocessing, feature engineering, and data cleaning.
Benefits
  • Opportunity to work on complex technical challenges with global impact.
  • Vast opportunities for self-development, including online courses and certifications.
  • Sponsored Tech Talks &Hackathons to foster innovation and learning.
  • Generous benefits package, including health insurance, retirement benefits, flexible work hours, and more.
  • Supportive work environment with forums to explore passions beyond work.

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