Generative AI

4 weeks ago

Hyderabad, India Infoshare soft Full time

Job Title: Generative AI Engineer

Location: Hyderabad, India
Department: Artificial Intelligence / Machine Learning
Job Type: Full-time | On-site
Experience Level: Mid-Senior / Senior (48 years preferred)

About the Role:

We are looking for a talented and passionate Generative AI Engineer to join our AI/ML team in Hyderabad. You will work on cutting-edge projects involving large language models (LLMs), diffusion models, and transformer architectures to build scalable and innovative generative solutions.

Key Responsibilities:

  • Design, develop, and deploy generative AI models for various business use cases.
  • Fine-tune large language models (like GPT, LLaMA, Mistral, etc.) on domain-specific datasets.
  • Work with multimodal models (text, image, video, audio) and generative techniques (e.g., GANs, VAEs, diffusion models).
  • Collaborate with cross-functional teams to understand product requirements and implement AI-driven features.
  • Optimize models for performance, accuracy, and latency on production-scale systems.
  • Stay updated with the latest research in generative AI and bring best practices into the team.

Required Skills & Qualifications:

  • Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related field.
  • 3+ years of experience in building and deploying AI/ML models, preferably generative models.
  • Proficient in Python and ML frameworks like PyTorch or TensorFlow.
  • Solid understanding of transformer-based architectures (BERT, GPT, T5, etc.).
  • Experience with Hugging Face Transformers, LangChain, or similar libraries.
  • Exposure to prompt engineering, RAG (Retrieval-Augmented Generation), and LLMOps.
  • Familiarity with MLOps tools (e.g., MLflow, Weights & Biases, Kubernetes).
  • Strong problem-solving and communication skills.

Preferred (Good to Have):

  • Experience with multimodal models or image generation (e.g., DALL
    •E, Stable Diffusion).
  • Knowledge of cloud platforms (AWS, Azure, GCP) and GPU/TPU deployment.
  • Publications or contributions in AI research communities (arXiv, GitHub, etc.).

Why Join Us?

  • Work on impactful AI projects in a fast-paced and collaborative environment.
  • Competitive salary with performance bonuses.
  • Flexible work hours and hybrid setup.
  • Access to state-of-the-art computing resources and open-source models.

If you are passionate about building the next generation of AI systems and want to work with a team that values innovation and excellence, we'd love to hear from you

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