
AI Model Engineer
1 day ago
Job Title: AI Model Engineer
Key Responsibilities:
- Create and Deploy Scalable AI Models: Utilize Python, TensorFlow, PyTorch, and scikit-learn to build efficient AI solutions.
- Design Generative AI Systems: Develop NLP, Embedding models, Text retrieval Reinforcement Learning, and other related technologies using Generative AI frameworks.
- Deploy Large Language Models in Containers: Leverage containerization technologies like Docker, Kubernetes, TGI, VLLM, TensorRT or similar frameworks to deploy LLMs.
- Ensure Solution Performance and Scalability: Optimize the scalability, performance, and reliability of AI/ML solutions.
- Stay Updated with Advancements: Stay updated with the latest advancements in AI/ML and GenAI technologies and incorporate them into projects.
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Proven experience as an AIML Engineer with production-grade projects.
- Strong proficiency in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
- Hands-on experience with Generative AI technologies, including NLP, computer vision, and deep learning.
- Solid understanding of data structures, algorithms, and software design principles.
- Experience with cloud platforms (e.g., AWS) and containerization technologies (e.g., Docker, Kubernetes).
- Excellent problem-solving skills and the ability to think critically and analytically.
Preferred Qualifications:
- Knowledge of RAG and RAGAS Evaluation frameworks.
- Knowledge of reinforcement learning and other advanced AI techniques.
- Contributions to open-source AI/ML projects or publications in relevant conferences/journals.
We are seeking a highly skilled Ai Model Engineer to join our team. If you have a passion for building scalable and reliable AI models, we encourage you to apply.
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