
Model AI Innovation Expert
3 days ago
Job Description
We are looking for an experienced AI Model Engineer to join our team and help drive the development of large language models. As a key member of our GenAI delivery organization, you will be responsible for leading the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
This is a unique opportunity to work with a talented team of engineers and contribute to the creation of innovative AI products. If you have a passion for machine learning and a desire to push the boundaries of what is possible with generative AI, we want to hear from you.
Required Skills and Qualifications- 5+ years of professional experience in building Machine Learning models & systems
- 1+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly prompt engineering, RAG, and agents.
- Experience in driving the engineering team toward a technical roadmap.
- Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.
- Understanding of Cloud services, including Azure, GCP, or AWS
This role offers a challenging and rewarding career path, with opportunities to work on cutting-edge projects and collaborate with a talented team of engineers. You will also receive comprehensive training and support to ensure your success in this role.
Role Responsibilities- Develop and optimize LLM-based solutions
- Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
- Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
- Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.
- Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.
- Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model
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