Senior Gen AI Engineer
hace 4 días
We are seeking a highly skilled Gen AI Software Developer to join our team in Product Development. As a key member of our organization, you will be responsible for leveraging the power of generative models to drive business growth and innovation.
About Our CompanyExperian is the world's leading global information services company, unlocking the power of data to create more opportunities for consumers, businesses, and society. We have been recognized as one of the 100 Best Companies to work for by FORTUNE and one of the 100 World's Most Innovative Companies by Forbes Magazine.
Responsibilities- Utilize prompt engineering techniques to extract desired outputs from generative models efficiently.
- Collaborate with cross-functional teams to integrate GenAI-driven solutions into business workflows.
- Stay informed about the latest advancements in GenAI developments and techniques.
- Contribute to the establishment of best practices for efficient utilization of generative models in business and automation contexts.
- Deliver solutions following modern software development practices.
- A Bachelor's degree in computer science, IT, AI or relevant discipline.
- Solid proficiency in Python and related AI/ML libraries.
- Hands-on experience with GenAI, LLMs, particularly OpenAI models like ChatGPT, Langchain, and Vector Database/Embeddings.
- A deep understanding of the RAG architecture and its implementation.
- Proficient skills with techniques and methodologies of prompt engineering.
- Experience with deep learning frameworks such as TensorFlow, PyTorch, or equivalent.
- Experience of API-based integrations and cloud deployment (e.g., AWS, Azure, GCP).
- Familiarity with NLP toolkits like HuggingFace.
- Ability to write high-quality, maintainable code and work collaboratively.
- Problem solving with strong analytical skills with the ability to analyze complex requirements and define technical/functional advanced solutions.
- Excellent communication skills in both verbal and written English.
- Full stack engineering and microservices architecture.
- SQL/NoSQL databases, containerization, and cloud platforms.
- Process/RPA automation.
- Working in an IT Center of Excellence.
- Post Grad or master's degree in computer science, Artificial intelligence, or Machine Learning.
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