
AI Innovator
2 weeks ago
Generative AI Engineer Job Description
">The role of a Generative AI Engineer is to design, develop and implement cutting-edge generative AI solutions using advanced technologies such as PyTorch, TensorFlow, and Large Language Models (LLMs).
">Key Responsibilities:
">- ">
- Develop and deploy generative AI models for various applications, including but not limited to natural language processing, computer vision, and time series forecasting.">
- Collaborate with cross-functional teams to integrate AI capabilities into existing products and services.">
- Design and implement efficient CI/CD pipelines for AI solutions and cloud-native deployment patterns.">
Required Skills and Qualifications:
">- ">
- Bachelor's/Master's degree in Computer Science, Data Science, AI/ML or a related field.">
- 5+ years of experience in Machine Learning/Deep Learning with a minimum of 2 years in Generative AI solution development.">
- Strong expertise in Python and popular ML/DL libraries (PyTorch, TensorFlow).">
- Solid understanding of LLM training/fine-tuning techniques such as LoRA, QLoRA, PEFT, and instruction tuning.">
- Proficiency in prompt engineering and evaluation of model outputs.">
- Hands-on experience with vector databases and indexing pipelines for semantic search.">
Preferred Qualifications:
">- ">
- Experience with containerization and deployment tools (Docker, Kubernetes, Helm).">
Benefits:
">- ">
- Opportunity to work on cutting-edge AI projects.">
- Collaborative and dynamic work environment.">
- Professional growth and development opportunities.">
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