AI Model Developer

7 days ago

Mumbai, Maharashtra, India beBeeMachine Full time ₹ 15,00,000 - ₹ 25,00,000

**Role Description:**

Our organization is seeking a highly skilled professional to develop and deploy advanced machine learning models. As a specialist in generative AI, you will be responsible for designing, training, and optimizing models that generate high-quality, human-like content.

**Key Responsibilities:**

  • Design, train, and optimize generative AI models for various applications, including text, image, and audio generation.
  • Collaborate with cross-functional teams to integrate these models into our products, enhancing their capabilities and delivering exceptional value to clients.
  • 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.

**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 and contribute to the development of innovative technologies.
  • Chance to collaborate with a talented team of professionals and learn from their expertise.
  • Competitive compensation package and comprehensive benefits program.

**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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