Are you looking for meaningful work with diverse, international, highly skilled and passionate product and tech teams across geographies which give you the chance to make a difference in our clients customers’ lives at a global scale. Look no further!
For a client of ours in the e-commerce/retail industry we are looking for a Machine learning Engineer.
Duration: 1 year + possible extension
The central data product engineering teams innovate and build products ranging from recommendation systems, to search ranking models, to user profiling and segmentation services, to performance statistics engines, to adtech and others to offer our end users and partners to create perfect matches on their marketplaces.
The marketplaces in the portfolio fuel the central data platform with rich behavioral, content and user data on which they rely to build global services.
Our client is on the lookout for top-notch software engineers to join their team and make a global impact in an exciting and dynamic environment.
As an engineer in one of the data product engineering teams you will build and run production-grade data and machine learning pipelines and products at scale in an agile setup. You will partner closely with their data scientists, engineers, architects and product managers to create the technology that generates and transforms data into applications, insights and experiences for their marketplaces across the globe. They expect you to contribute to the architecture of their system, and help to make it more scalable and resilient. As part of the team, they want you to spot opportunities to improve the development work in all areas from coding and processes, to tools and testing.
Who are we looking for?
We are looking for someone who is passionate about data and machine learning. You have a strong focus on execution, delivery and customer impact and craft code that is understandable, simple and clean. You are a manager of one and a sharp communicator who can explain complex problems in clear and concise language. You have a growth-oriented mindset and a desire to teach, improve, and otherwise force multiply the strengths of the engineers that surround you. You are a fast learner and thrive on learning new technologies and don't believe in one-size-fits-all solutions. You are a great teammate and believe that you can achieve more on a team – that the whole is greater than the sum of its parts.
* You have experience designing and productionizing large-scale distributed systems built around
machine-learned models and big data. Experience with ML Ops and associated best practices.
* You have strong expertise in Java and/or Scala programming languages. Python experience is a plus.
* You have experience with batch and streaming technologies: e.g Apache Flink, Apache Spark, Apache Beam, Google DataFlow.
* You have expertise with distributed data stores (Casandra, Google BigTable, Redis, ClickHouse,
Elasticsearch) and messaging systems (Kafka, Google PubSub) at scale.
* You have experience with Linux, Docker, private and/or public cloud (OpenStack, GCP, AWS, Azure).
Michael Bailey International is acting as an Employment Business in relation to this vacancy.