R564 Machine Learning Ops Engineer
Responder al anuncioMachine Learning Ops Engineer
Amex GBT is a place where colleagues find inspiration in travel as a force for good and – through their work – can make an impact on our industry. We're here to help our colleagues achieve success and offer an inclusive and collaborative culture where your voice is valued. Ready to explore a career path? Start your journey.
The team's responsibilities span data integration supporting customers and internal business areas and ML platform development. We are looking for a talent with different skill sets, a passionate technologist dedicated to solving real-world business problems, to lead the excellence of Data/ML engineering practice.
What You'll Do on a Typical Day
- Partner with technologists across the business to collaboratively solve problems.
- Demonstrate active mentorship and rising talent identification.
- Develop a north star vision for the domain in which they are focused.
- Demonstrate positive impact and leadership across the scope of the organization.
- Serve as a specialist in architecting design solution patterns for any use case.
- Consider business needs and application needs, articulating to interested teams and partners.
- Demonstrate mastery of software design, shaping coding methodologies that are scalable, resilient, and stable.
- Possess a deep knowledge of the entire system and can jump into code in any component to troubleshoot and contribute.
- Exhibit expertise in professional software engineering practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
- Lead collaboration with key partners and contribute subject matter expertise to develop unique solutions to complex issues.
- Have good infrastructure knowledge (AWS, Kubernetes).
- Have some experience with Data (BI, Reporting, Analytics, Machine Learning, etc. ) would be a plus.
What We're Looking For
- Development background, infrastructure (AWS) knowledge, and Data awareness.
- 8+ years for Bachelor's or equivalent, 6+ years for Master's.
- Proven experience in data modeling, schema design patterns, and modern data access patterns (including API, streaming, data lake) and AWS.
- Demonstrate familiarity with various cloud technologies and building data products to support batch and real-time DS, ML, and Deep learning applications.
- Independently design, communicate, and execute on architecture for moderately sophisticated data products.
- Have a strong understanding of testing and monitoring tools and technologies.
- Guide others in the design of software that is easily testable and observable.
- Influence and contribute to product vision for the team.
- Proficiency in platform development using Java/Python and SQL.
- Have some experience with Sagemaker or equivalent, feature store, dashboards, etc.
- Have some basics around LLM, guardrails, observability, RAG.
Location: Spain
The #TeamGBT Experience: Flexible benefits are tailored to each country and start the day you do.
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