The Generative AI Centre of Expertise (GenAI CoE) at Experian exists to improve our products our internal processes and our daytoday work through GenAI and process automation. The team is a mix of ML engineers data scientists and product owners who are dedicated to the next wave of innovation using GenAI.
In the GenAI CoE ML Engineers drive the delivery of concepts and proven ideas into products and services that Experian can take to their customers whether that be businesses or direct to consumers. To do this we build upon the outcomes of our experiments to meet the product requirements considering performance maintainability and scalability. We alongside the data scientists in the team collaborate with a range of stakeholders.
You will:
- Partner with teams across the organisation to design and build GenAI solutionsfrom early experimentation to fullscale productionpotentially including DevOps work where needed.
- Architect and build highperformant solutions which may involve traditional ML modelling and/or large datasets as well as GenAI.
- Lead the team by example in engineering best practices and actively drive continual improvements in the quality of our output.
- Support and mentor other ML Engineers and Data Scientists with engineering challenges from cloud engineering to serving LLMs across our portfolio of projects.
- Work with other ML Engineers to maintain the experimentation cloud environments that the team work in daytoday.
- Discover and introduce new technologies to the team staying up to date with the latest approaches that enable the next generation of Experians products with GenAI and ML.
- Learn quickly and be able to put new GenAI concepts into practice.
- Spend 10% of your work time on continuous learning and sharing expertise on generativeAI technologies.
Qualifications :
- Are proficient in Python.
- Are a selfstarter with strong troubleshooting skills.
- Have experience with cloud computing platforms.
It would be fantastic if you have:
- Familiarity with Unix environments.
- Exposure to at least one other programming language besides Python.
- Proficiency in objectoriented programming (OOP) SOLID principles and testdriven development (TDD).
- Proficiency with Docker and experience working with container orchestration tools such as Kubernetes Docker Swarm or cloudbased alternatives.
- Comfort working across the full development stack especially for prototyping.
- Passion for applying GenAI and machine learning across diverse domains and throughout the full project lifecycle.
- Conceptual understanding of common ML approaches (e.g. LLMs GBMs deep learning) and typical software architectures.
- Detailedoriented pragmatic and collaborative team player.
- Experience as a lead developer tackling complex problems at scale.
- Experience mentoring junior engineers.
- Familiarity with various machine learning frameworks and toolkits (e.g. scikitlearn XGBoost TensorFlow).
- Handson experience building GenAI solutions using patterns such as RetrievalAugmented Generation (RAG) or finetuning Large Language Models (LLMs).
- Greater familiarity with AWS compared to other cloud computing platforms.
- Have experience developing REST APIs.
Additional Information :
Our uniqueness is that we truly celebrate yours. Experians culture and people are key differentiators. We take our people agenda very seriously and focus on what truly matters; DEI work/life balance development authenticity engagement collaboration wellness reward & recognition volunteering... the list goes on. Experians strong people first approach is award winning; Great Place To Work in 24 countries FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experians DNA and practices and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work irrespective of their gender ethnicity religion colour sexuality physical ability or age. If you have a disability or special need that requires accommodation please let us know at the earliest opportunity.
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Remote Work :
No
Employment Type :
Fulltime
Key Skills
Industrial Maintenance,Machining,Mechanical Knowledge,CNC,Precision Measuring Instruments,Schematics,Maintenance,Hydraulics,Plastics Injection Molding,Programmable Logic Controllers,Manufacturing,Troubleshooting
Department / Functional Area:Product Development
Experience:years
Vacancy:1
