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AI Product Engineer

AI Product Engineer

ConfidentialMumbai
3 days ago
Job description

Responsibilities :

  • Design and Develop AI-Powered Products :
  • Collaborate with cross-functional teams to design and develop AI-powered products that meet business requirements.
  • Use foundational language models (e.g., BERT, RoBERTa, XLNet) and Transformer Architecture to build and train custom models for various applications.
  • Experiment with different architectures, hyperparameters, and training techniques to optimize model performance.
  • Develop and Train Custom Models :
  • Develop and train custom models using large-scale datasets and state-of-the-art techniques (e.g., transfer learning, few-shot learning).
  • Fine-tune pre-trained language models for specific downstream tasks (e.g., sentiment analysis, question answering).
  • Evaluate model performance using metrics such as accuracy, precision, recall, and F1-score.
  • Experimentation and Failure Analysis :
  • Design and execute experiments to validate hypotheses about AI-powered product performance.
  • Analyze results, identify areas for improvement, and propose changes to the product or solution.
  • Collaborate with the team to implement design changes and iterate on the product development process.
  • Scaling Solutions :
  • Develop and deploy scalable solutions that can handle large volumes of data and traffic.
  • Optimize model performance for production environments using techniques such as model pruning, knowledge distillation, or quantization.
  • Collaborate with infrastructure teams to ensure seamless deployment and maintenance of AI-powered products.
  • Knowledge Sharing and Collaboration :
  • Share expertise and knowledge with colleagues through regular meetups, workshops, and blog posts.
  • Participate in code reviews, provide feedback on peers work, and contribute to open-source projects.
  • Collaborate with other teams (e.g., data science, product management) to ensure alignment and effective communication.

Requirements :

  • Education :   Preferred PhD in Computer Science, Electrical Engineering, or related field (or equivalent experience). However, degree is notional, skill is imperative.
  • Technical Skills :
  • Strong foundation in deep learning, natural language processing, and computer vision.
  • Experience with foundational language models (e.g., BERT, RoBERTa, XLNet) and their applications.
  • Familiarity with popular deep learning frameworks (e.g., TensorFlow, PyTorch).
  • Knowledge of large-scale data storage and processing systems (e.g., Hadoop, Spark).
  • Nice to Have :

  • Experience with cloud platforms (e.g., AWS, GCP) and containerization (e.g., Docker).
  • Familiarity with agile development methodologies (e.g., Scrum, Kanban).
  • Knowledge of software engineering principles and best practices.
  • Experience with open-source projects and contributions to the AI community.
  • Skills Required

    Develop AI-Powered Products, BERT, RoBERTa, XLNet, transfer learning, few-shot learning

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