Generative AI Engineer (2-3 Years Experience)

Job Summary

We are seeking a Generative AI Engineer with 2-3 years of experience to join our dynamic team. The ideal candidate will have hands-on experience in developing, fine-tuning, and deploying Generative AI models using state-of-the-art techniques. You will work closely with data scientists, machine learning engineers, and software developers to build AI-powered applications that enhance automation, content generation, and decision-making processes.

Key Responsibilities

• Develop, fine-tune, and deploy Generative AI models such as GPT, BERT, Stable Diffusion, and other transformer-based architectures.
• Implement machine learning algorithms and natural language processing (NLP) techniques for text, image, and audio generation.
• Optimize AI models for performance, accuracy, and efficiency.
• Work with large datasets to train AI models effectively.
• Collaborate with cross-functional teams to integrate AI models into applications and services.
• Research and stay updated with the latest advancements in Generative AI and deep learning.
• Ensure AI solutions align with ethical AI principles and data privacy regulations.

Required Skills & Qualifications

• Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 2-3 years of experience in AI/ML with a focus on Generative AI.
• Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or JAX.
• Experience working with transformer-based architectures like GPT, BERT, T5, or Stable Diffusion.
• Hands-on experience in model training, fine-tuning, and inference optimization.
• Knowledge of cloud platforms (AWS, Azure, GCP) for AI model deployment.
• Familiarity with MLOps and AI model lifecycle management.
• Strong problem-solving and analytical skills.
• Good communication skills and ability to work in a collaborative environment.

Preferred Qualifications

* Experience in multi-