Senior AI Model Developer

3 days ago

Bellary, Karnataka, India beBeeArtificialIntelligence Full time ₹ 9,00,000 - ₹ 18,00,000
Job Title: Senior AI Model Developer

We are seeking a skilled Senior AI Model Developer to join our team. As a key member of our AI engineering group, you will be responsible for designing, developing, and deploying advanced machine learning models that generate high-quality, human-like content.

You will collaborate with cross-functional teams to integrate these models into our products, enhancing their capabilities and delivering exceptional value to our clients.

  • Develop, train, and optimize generative AI models for various applications, including text, image, and audio generation.
  • Collaborate with product managers, software engineers, and data scientists to understand project requirements and 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.

Requirements:

  • 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.

Benefits:

  • Career growth opportunities in a rapidly evolving industry.
  • A collaborative and dynamic work environment.
  • A competitive compensation package.

Disclaimer:

We follow a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or email addresses.

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