Machine Learning Engineer - GenAI
Machine Learning Engineer - GenAI
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Job Description
The Generative AI Centre of Expertise (GenAI CoE) at Experian exists to improve our products our internal processes and our day-to-day 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.
Who is a ML Engineer
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 full-scale productionpotentially including DevOps work where needed.
- Architect and build high-performant solutions which may involve traditional ML modelling and/or large datasets as well as GenAI.
- 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 generative-AI technologies.
You
- Have experience in Python.
- Are a self-starter with strong troubleshooting skills.
It would be fantastic if you also have:
- Have a degree or equivalent qualification in a STEM subject.
- Are familiar with Unix environments.
- Exposure to at least one other programming language besides Python.
- Proficiency in object-oriented programming (OOP) SOLID principles and test-driven development (TDD).
- Proficiency with Docker and experience working with container orchestration tools such as Kubernetes Docker Swarm or cloud-based 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.
- Detailed-oriented 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. scikit-learn XGBoost TensorFlow).
- Hands-on experience building GenAI solutions using patterns such as Retrieval-Augmented Generation (RAG) or fine-tuning Large Language Models (LLMs).
- Have experience with cloud computing platforms.
- Greater familiarity with AWS compared to other cloud computing platforms.
- Have experience developing REST APIs.
Qualifications :
- Have experience in Python
- Are a self-starter with strong troubleshooting skills
Additional Information :
Our uniqueness is that we celebrate yours. Experians culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI work/life balance development authenticity collaboration wellness reward & recognition volunteering... the list goes on. Experians people first approach is award-winning; Worlds Best Workplaces 2024 (Fortune Top 25) Great Place To Work in 24 countries and Glassdoor Best Places to Work 2024 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 an important 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.
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
