TransUnion's Job Applicant Privacy Notice
What We'll Bring:
As a Machine Learning Engineer as part of Intelligent Automation team, you will play a crucial role in designing, developing, evaluating and deploying advanced AI models that would enable higher success rate in automating complex processes involving structured and unstructured data, natural language processing.
To thrive in this position, you must possess exceptional skills in statistics and programming, as well as a deep understanding of data science and software engineering principles.
Your ultimate objective will be to create highly efficient self-learning applications that can adapt and evolve over time, pushing the boundaries of AI technology. Join us and be at the forefront of innovation in the field of Intelligent Automation.
What You'll Bring:
Responsibilities
- Research and implement appropriate ML algorithms and tools
- Conduct technical feasibility studies for applying AI/Gen AI to use cases
- Develop proof-of-concepts and prototypes to demonstrate the potential of AI in solving client problems
- Select appropriate datasets and data representation methods
- Deploy AI models into production environments, ensuring scalability, efficiency, and reliability.
- Run machine learning tests and experiments
- Perform statistical analysis and fine-tuning using test results
- Train and retrain systems when necessary
- Extend existing ML libraries and frameworks
- Mentor and guide junior developers in AI techniques and best practices.
- Stay updated with the latest research in generative AI, RAG, and Graph RAG, and apply new methodologies to improve model outcomes.
- Experiment with different model architectures and approaches to achieve optimal results.
- Implement monitoring and observability solutions for deployed models
- Troubleshoot and optimize AI systems in production environments
Impact You'll Make:
Requirements and skills
- Proven experience as a Machine Learning Engineer or similar role
- Understanding of data structures, data modeling and software architecture
- Deep knowledge of math, probability, statistics and algorithms
- Ability to write robust code in Python, Java and R
- Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
- Excellent communication skills
- Ability to work in a team
- Outstanding analytical and problem-solving skills
- Bachelor's degree in Computer Science or Mathematics or similar field; Master's degree is a plus
This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.
TransUnion Job Title
Sr Developer, Applications Development
Top Skills
What We Do
TransUnion is a global information and insights company that makes trust possible by ensuring that each consumer is reliably and safely represented in the marketplace.
We do this by having an accurate and comprehensive picture of each person.
This picture is grounded in our legacy as a credit reporting agency which enables us to tap into both credit and public record data; our data fusion methodology that helps us link, match and tap into the awesome combined power of that data; and our knowledgeable and passionate team, who stewards the information with expertise, and in accordance with local legislation around the world.
Because of our work, organizations can better understand consumers in order to make more informed decisions, and earn their trust through great, personalized experiences, and the proactive extension of the right opportunities, tools and offers. In turn, consumers can be confident that their data identities will result in the opportunities they deserve.
We make trust possible, so businesses and consumers can transact with confidence and achieve great things. We call this Information for Good®—it’s our purpose, and what drives us every day.
Why Work With Us
Our culture is welcoming, energetic and innovative. There’s an overall synergy that flows throughout TransUnion, creating a sense of unity in knowing that we’re all working to achieve the same overall goal. We’re dedicated to providing opportunities for our people to get involved and stay connected with their colleagues across the globe.
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.