Machine Learning Engineer

at  Seez App Technology LTD

GENERAL INFORMATION

Job Title: Machine Learning Engineer
Reports to: Director of Data
Department: Product/Data
Job Location: Around the world!

WHAT THIS JOB IS ABOUT

First and foremost, ask yourself: Do I possess customer fascination?
If your heart and mind shout “YES, I am!” then you have just identified a fundamental match between you and Seez!
We are a tech automotive e-commerce and SaaS startup and have been developing innovative automotive retail solutions using AI and data since 2016. Our scalable, data driven technology makes it possible for customers to buy and sell online cars from wherever they are. We’re also at the forefront of developing Gen AI solutions for the automotive space. We are planning for rapid growth and to become a disruptive force in the automotive industry.
We are seeking a highly skilled and innovative Machine Learning Engineer. This role is ideal for someone who is passionate about staying on the cutting edge of machine learning technology and thrives in a fast-paced, creative environment where you shape the way to solve a given problem.

ABOUT US

We’re a tech automotive e-commerce and SaaS startup and have been developing innovative automotive retail solutions using AI and data since 2016. Our scalable, data-driven technology makes it possible for customers to buy and sell cars online from wherever they are.
In March 2022, we became the first in Scandinavia to introduce an online auto marketplace for car buyers. Seez Marketplace’s smart search engine allows people to find new and used cars for sale or lease in Denmark, along with tools and services for an enjoyable online buying experience; from browsing car selections to financing, insurance, and car delivery. We are planning for rapid growth and to become a disruptive force in the automotive industry by kicking off in Europe.
Seez is an exciting, fun, challenging, fast-paced, and dynamic place for big thinkers and top achievers, and there’s no better time to join the team than right now. Our headquarters are in Dubai, and we have an office in Copenhagen, Denmark, where we run our business operations. The rest of the team works remotely around the world, and very soon, our services will be available in other European countries.

JOB KEY RESPONSIBILITIES

• Work closely with business analysts during the requirement definition stage to make sure the business requirements can be implemented in our platform.
• Work day-to-day in a multi-functional team to build and extend machine learning libraries and frameworks to be used in scalable customer facing web applications.
• Collaborate with software engineers, product managers, designers, and analysts
• Deliver testable, maintainable, and high-quality code
• Monitor, test, and continuously optimize our Machine Learning models.
• Ensure that our user experience is the very best it can be
• Share knowledge, promote best practices, and collaborate with some of the best Machine Learning engineers in the company
• Collaborate with key internal stakeholders
• Employ impeccable analytical and problem-solving abilities to tackle complex challenges in the Machine Learning and AI domains
• Regularly update knowledge with the latest trends and developments in the machine learning industry.
• Work effectively with minimal supervision and a proven ability to align data infrastructure with business goals.

YOU’LL THRIVE IN THIS ROLE IF YOU’RE SOMEONE (GREAT TO HAVE)

• Experience working in startups
• Experience with cloud services such as AWS and Azure.
• Experience with Redis
• Databricks platform experience will be considered is a strong plus.
• Knowledge of the automotive industry is a plus.
• Experience with writing, releasing, and working in large distributed systems, deep learning or/and natural language processing is a big plus.
• Understanding of the fundamentals of machine learning and NLP, with the ability to apply these principles to solve real-world problems, developments in Deep Learning and Language Modeling, especially Generative AI and Large Language Models.
• Open to feedback and eager to learn, grow and improve
• Friendly but not afraid to speak their mind when necessary
• Passionate about building things and/or software/technology