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AI Engineer
2 months ago
We are seeking a highly skilled AI Engineer to join our team at esure, a leading player in the insurance industry. As a key member of our data science team, you will play a crucial role in elevating our customer experience by leveraging NLP, large language models, and seamless integration with third-party GenAI services.
Key Responsibilities- Collaborate with business partners to identify use cases where GenAI can deliver measurable benefits.
- Work with the data science team to deploy scalable AI applications across the organization.
- Collaborate with a diverse team to operationalize AI services on AWS.
- Enhance our tech stack, including MLOps, CI/CD pipelines, UI, and AI Python libraries.
- Create prompts, fine-tune models, and monitor outcomes.
- Evaluate third-party GenAI and LLM technologies for cost-benefit analysis.
- Lead projects from conceptualization and R&D to production implementation and benefit assessment.
- Adhere to and contribute to standards for code quality, R&D, and model development.
- Optimize data for enhanced AI application performance.
- Advise colleagues and senior management on business and customer implications.
- Develop high-quality Python code for production, utilizing CI/CD, Databricks, and ensuring adequate test coverage; proficiency in SQL.
- Engage with external partners and stay up-to-date with industry advancements and regulations.
- Collaborate with data governance and data management teams on data requirements.
- PhD or MSc experience in a quantitative field: Machine Learning, Computer Science, Statistics, or equivalent.
- Demonstrable experience in implementing, researching, and developing advanced NLP models, prompt engineering, and fine-tuning LLMs for business value.
- Proven ability to work independently and collaboratively to deliver projects punctually, from project briefs to robust results.
- Proficient in Python data science stack, pandas, scikit-learn, Jupyter, and version control, Git.
- Familiarity with LLMOps, model monitoring principles, CI/CD, and related technologies, Docker, MLflow, k8s, FastAPI.
- Knowledge of Langchain, huggingface, and LLM offerings by third-party vendors.
- Understanding of OO programming and software design, SOLID principles.
- Familiarity with AGILE methodologies and practical experience.
- Acquaintance with Databricks and RAG application architecture is advantageous.
- Experience in latency optimization and quantization is preferred.
- A competitive salary recognizing your skills and potential.
- A bonus scheme acknowledging your role in esure's achievements.
- Discounts on our insurance products for you and your family.
- 25 days of annual leave, plus 8 flexible days for your convenience.
- Exclusive benefits through My Benefits Box to support your health, wellbeing, lifestyle, and finances.
- Opportunities for career growth with hands-on training, mentoring, LinkedIn Learning license, access to exclusive Academies, career discussions, and expert resources.
- Engagement in diverse communities within the organization for networking and learning.
- Flexible working options under the ABI's Make Flexible Work campaign.
- Support for a healthy lifestyle through multiple initiatives.
- A focus on sustainable practices and community support through volunteering programs.
- Recognition programs to appreciate and celebrate your contribution.