senior engineer
5 the last 213 days, recently 2023-08-01
Responsibility
- about Kindred
- our purpose is to transform gambling by being a trusted source of entertainment that contributes positively to society
- our goal is that 0% revenue is derived from harmful gambling
Show more +26 - when you join Kindred, you'll be part of a collaborative, diverse and inclusive team that has your best interest at heart
- MLOps
- we are a trusting company that knows the value of a healthy work-life balance
- developing and maintaining our model deployment framework
- kindred Group is a digital entertainment pioneer bringing together nine successful online gambling brands, forming one of the largest online gambling groups in the world
- developing and maintaining our feature store
- the role
- developing and maintaining our MLOps ecosystem to facilitate rapid and scalable deployments of data products
- as a Senior Data Engineer, you will be designing & building new and creative data solutions, in a fast-paced agile team
- close relationship with DS to optimize toolset for research
- close relationship with ML engineers in product development teams to understand challenges and identify MLOps priorities
- this is a hands-on role requiring strong data engineering skills
- maintaining a culture of discipline and best engineering practice
- our global team of more than 2000 people represents 60+ nationalities
- product development
- what you will do
- we offer a wide range of benefits, along with an award-winning all-employee share program, which is a great opportunity to share in the company's success
- execution of personalisation and risk management product development backlogs
- develop and maintain robust and efficient data solutions and products starting from the brainstorming phase to final production and product delivery
- designing data intensive applications, working with Lead MLE and Architects
- design solutions, document them as GAPs and align them with Architects and principal data engineers
- end to end understanding and taking responsibility for data products developed by you and your team
- joining the Data team, you will be playing a big part in the way we shape our business by closely collaborating with different stakeholders across the business and ensure they get the most out of the data in terms of reporting, statistics and form the basis of the decision making and analytical processes
- building quality data products through CI/CD and suggest ways to improve
- design solutions, document them as GAPs and align them with Architects and Principal Data Engineers
- initiates and experiments with new ideas and approaches that support data strategy
Requirements
- ✅ 3-5 years relevant commercial experience
- ✅ Experience working alongside Data Scientists
- ✅ A portfolio of deliveries of ML products
Show more +9 - ✅ Experience deploying models as batch, streams, and as services
- ✅ Strong Scala/Java skills
- ✅ Python skills
- ✅ Experience deploying containerized applications onto Kubernetes
- ✅ Experience using Kafka
- ✅ Data Engineering experience
- ✅ Solid understanding of the machine learning model lifecycle and operations
- ✅ Experience in cloud computing, ideally AWS
- ✅ Passionate about your personal development
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