Machine Learning Ops EngineerAmex 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 DayPartner 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 ForDevelopment 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:SpainThe #TeamGBT Experience: Flexible benefits are tailored to each country and start the day you do.#J-18808-Ljbffr
