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AI Model Developer

2 weeks ago


Tiruppur, Tamil Nadu, India beBeeArtificial Full time US$ 1,20,000 - US$ 1,40,000

As a generative AI model developer, you will design, develop and deploy advanced machine learning models that generate high-quality, human-like content. This role is key to our organization where you will collaborate with cross-functional teams to integrate these models into our products.

Key Responsibilities
  • Develop and optimize AI models for various applications, including text, image and audio generation.
  • Collaborate with product managers, software engineers and data scientists 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 and maintain 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.
  • Document model architecture, training processes and performance metrics for internal and client-facing reports.

Required Skills:

  • Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence or a related field.
  • Proven experience in developing and deploying 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.

Preferred Qualifications:

  • Experience with GANs, VAEs 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.