AI Innovation Specialist

18 hours ago

Tirupati, Andhra Pradesh, India beBeeMachine Full time US$ 1,20,000 - US$ 1,60,000
Job Title: AI Innovation Specialist

Job Overview:

We are seeking an experienced AI Innovation Specialist to join our team. As a key member of our organization, you will be responsible for designing, developing, and deploying advanced machine learning models that drive business growth through innovative solutions.

Main Responsibilities:

  • Design, develop, and deploy generative AI models for various applications, including text, image, and audio generation.
  • Collaborate with cross-functional teams to understand project requirements and deliver robust AI-powered solutions.
  • Stay up-to-date 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.
  • Prepare high-quality datasets for model training by preprocessing, augmenting, and annotating data.
  • 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 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.

Preferred Qualifications:

  • 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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