Our client, a leading insurer, is looking for a skilled AI Engineer to join their team. In this role, you will play a critical part in designing, developing, and deploying advanced AI and ML solutions. You will support their AI initiatives and contribute to the development of cutting-edge technologies that enhance their products and services. This role demands a deep understanding of generative AI algorithms, strong programming skills, and a proven track record of deploying AI solutions in a production environment.
Key Responsibilities:
- Develop and manage AI models from proof-of-concept to production, ensuring seamless integration and deployment on cloud platforms.
- Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
- Perform data analysis, data preprocessing, and feature engineering to prepare datasets for machine learning models.
- Train, validate, and fine-tune machine learning models, ensuring they meet performance and accuracy requirements.
- Deploy AI models into production environments and monitor their performance, making adjustments as necessary to maintain optimal operation.
- Manage the data flow and infrastructure for effective AI deployment.
Qualifications:
- Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related discipline.
- 5+ years of experience in data science, focusing on AI/ML applications.
- Previous experience working with AI Platforms built on AWS
- Knowledge of deep learning, large language models (LLMs), and machine learning algorithms, especially natural language processing (NLP).
- Strong proficiency in Python and/or R, along with experience in Machine Learning frameworks like scikit-learn, TensorFlow, PyTorch, and NLP/GenAI tools such as NLTK, Hugging Face Transformers, LangChain, LlamaIndex.
- Solid understanding of AI concepts and techniques, not requiring extensive coding or modeling expertise.
- Good communication skills and the ability to collaborate closely with both business and technology teams.
- Problem-solving mindset and critical thinking ability.
