Gabriela is a Data Science Consultant working in the AWS Professional Services team in Germany.
HereatAWS: Hi Gabriela. Tell us about your career journey. What brought you to your current role at AWS?
Gabriela: I was born and raised in Mexico, but most of my adult life has been spent studying or working in Europe. Around six years ago I moved to France to study my Master’s degree in Artificial Intelligence & Machine Learning. Between then and today I have also lived in Italy and Spain. It was while I was living in Barcelona, I got the opportunity to move to Germany for a Data Science role. Germany? Why not!
Germany soon started to feel like home, and although I enjoyed my work, I felt like I wanted to be challenged more; working with emerging technologies and diverse customers, industries and use cases. I got contacted by one of the AWS recruiters and ever since then it’s been always “day one” for me at AWS.
HereatAWS: Can you explain your role in terms of who your customers are, and how you help them?
Gabriela: I like to describe my role as an enabler for Machine Learning Solutions at AWS. I help customers to faster ramp-up into Machine Learning on AWS. From creating completely new Machine Learning Solutions, to migrating PoC or Production-level Machine Learning Solutions to the AWS cloud.
My work is very hands-on, so I not only help to draw up ML/AI strategies for customers, but I also have an active role in implementing, deploying and delivering them.
HereatAWS: What kind of skills do you need to succeed in your role?
Gabriela: When it comes to technical skills, I would say you need solid foundations in Machine Learning and a sound knowledge of different AWS Services. My day-to-day AWS Services are SageMaker, EC2, S3, StepFunctions, Lambda, Athena, Elastic Container Registry and CodePipeline. It’s also very helpful to have existing knowledge of DevOps and Big Data concepts and their corresponding AWS Services.
If we’re talking soft skills, I would say adaptability, communication, creativity and curiosity.
HeretatAWS: Have you had to learn any specific new skills, technical or soft, for your role?
Gabriela: Yes, lots and every day! Technical skills; there are too many to mention, but basically everything around AWS services is a constant stream of new knowledge. In the way that I work, framing customers’ needs using backwards methodology was a great learning. In general, the biggest new skill was living and applying the Leadership Principles in my every day work and decision-making situations.
HereatAWS: How would you say your work with customers help to make an impact on society?
Gabriela: I work along with customers to make data and machine-driven solutions that benefit their end-customers directly. These solutions can come from a large spectrum; such as making cars more available to people, predicting potential anomalies in vehicles, creating more directed marketing campaigns, developing better pharmaceutical drugs… the list goes on!
HereatAWS: At work, are you involved in any activities outside of your role?
Gabriela: I participate in the Technical Field Community (TFC) for AI/ML where the entire AWS AI/ML community have an active role sharing knowledge, experience and solutions.
HereatAWS: What’s the most exciting part of your job?
Gabriela: The exposure to new and innovative principles and technologies every day and working with bold and smart colleagues to delivery high quality solutions. Also, I enjoy meeting and working with different customers and helping them during their journey to AWS, it is very rewarding to see the impact.
HereatAWS: What’s the most challenging part of your job?
Gabriela: I would say time management could be the biggest challenge, but not in a bad way. There are so many things to learn and share, so many interesting projects to work on, and amazingly smart people to meet, it can be a challenge to fit in everything you want to do!
HereatAWS: What do you love to do outside of work?
Gabriela: Sports, sports and more sports! love all kind of sports, some of my favourites are running, yoga, skiing, hiking, swimming and windsurfing.
I also love reading Data Science/Machine learning papers and blogs. Even as a technology professional, I’m always amazed about how many useful resources you can find surfing on internet (and also how many smart people exist!).
HereatAWS: What advice would you give people joining AWS?
Gabriela: Enjoy the journey, take the time to learn and immerse yourself in the AWS culture.
HereatAWS: What three words would you use to describe workdays at AWS?
Gabriela: Hard-work, learning, passion.