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Developer (Gen AI)

Developer (Gen AI)

Tata Consultancy Serviceshyderabad, India
23 hours ago
Job description

Must-Have :

  • A fundamental understanding of ML and DL principles, algorithms, and neural network architectures is critical.
  • Proficient in Python and experienced with AI development tools like TensorFlow and PyTorch.
  • Familiarity with techniques like Generative Adversarial Networks and Variational Autoencoders, and specific applications in text (NLP) and image generation.
  • Expertise in text generation and working with Large Language Models (LLMs) is essential for many Gen AI applications.
  • Skills in data preprocessing, feature engineering, and understanding of MLOps (CI / CD pipelines, deployment) are important for practical implementation.

Good-to-Have :

  • A clear understanding of the role's purpose, highlight specific skills like Python, deep learning, NLP, and expertise in generative models such as GANs and VAEs, and emphasize a research mindset and strong problem-solving abilities, while also being adaptable and attractive to potential candidates
  • Responsibility of / Expectations from the Role :

  • Design, develop, and implement generative AI models, such as GANs (Generative Adversarial Networks) and LLMs (Large Language Models), using deep learning techniques.
  • Train models on large-scale datasets and fine-tune them for improved performance, efficiency, and scalability.
  • Prepare and preprocess large datasets for training generative models.
  • Collaborate with software engineers to integrate generative AI models into production environments and systems.
  • Continuously research and stay updated on the latest advancements in generative AI, deep learning, and related fields to incorporate new techniques.
  • Mentoring and guiding junior team members while assigning and tracking the tasks for closure without any schedule, quality and cost slippages
  • Collaborate with backend, QA, UI / UX, and business teams to ensure seamless application integration and performance.
  • Enforce best practices for browser compatibility, code reusability, localization (Japanese / English), and front-end security
  • Integrate APIs and backend services to support dynamic insurance data, calculations, and transactions.
  • Participate in code reviews, technical documentation, and knowledge sharing.
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