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Urgent! Senior Engineer Job Opening In Billund – Now Hiring The LEGO Group
Job Description
Ready to elevate your Data and MLOps engineering skills? Join our AI + Data Science Organisation as a Senior MLOps Engineer!
In this role, you'll design and construct scalable feature pipelines, automate ML models, and ensure their smooth operation within product teams(s). As a member of our AI + Data Science Organization, you'll also contribute to developing frameworks and patterns for scalable ML deployment across the enterprise.
Location will be in our campus in Billund and please note there is no relocation budget dedicated for this role.
Core Responsibilities
Contribute to the system design, integration architecture, and implementation of Machine Learning solutions in production
Bring excellence in MLOps into the product team(s) you work on, guiding them towards robust solutions and paved paths
Build and automate robust and scalable data and ML model management pipelines
Actively contribute to central initiative around enabling ML at scale, and be an inspiration and sparring partner for your junior colleagues.
Play your part in our team succeeding
You will be joining the AI + Data Science Organisation, which is the home of 50 data scientists and engineering colleagues, distributed across our Denmark and UK offices.
As our Senior Engineer, you will be reporting into the Head of Engineering within the organisation.
You will primarily work within cross-functional product teams where you will be primarily responsible for bringing to production different machine learning and AI solutions. A portion of your time will also be spent contributing to driving excellence in MLOps, working with the broader competency on building a consistent framework / platform /architecture for taking MLOps to the next level across the organization.
Do you have what it takes?
You have background in computer science or relevant field and have equivalent industry experience in software engineering.
You come with experience building and deploying solutions on AWS or similar cloud computing SaaS / PaaS platforms.
You have excellent collaboration and communication skills. You are proficient in Python 3 and are familiar with the language ecosystem(s) and packages.
In addition, you have:
A development process that is test driven and you are familiar with GitHub and/or GitLab.
Good working knowledge of relational / SQL and non-relational / NoSQL database and building data pipelines
Some experience in operationalizing AI / Machine Learning solutions or are very curious about the space
Some of the nice to haves will include:
Experience in ML experiment, model, and data tracking, coupled with a good understanding of machine learning fundamentals, including features, model design, optimization, and drift, and working in partnership with Data Scientists
Experience with tools and frameworks such as Terraform, PyTorch, MLflow, Airflow, and Databricks for ML training and operationalization is highly desirable.
Prior experience in building data pipelines using data processing tools and frameworks like Spark, Airflow, dbt, etc.
#LI-BL1
Applications are reviewed on an ongoing basis.
however, please note we do amend or withdraw our jobs and reserve the right to do so at any time, including prior to any advertised closing date.
So, if you're interested in this role we encourage you to apply as soon as possible.
What’s in it for you?
Here is what you can expect:
Family Care Leave - We offer enhanced paid leave options for those important times.
Insurances – All colleagues are covered by our life and disability insurance which provides protection and peace of mind.
Wellbeing - We want our people to feel well and thrive.
We offer resources and benefits to nurture physical and mental wellbeing along with opportunities to build community and inspire creativity.
Colleague Discount – We know you'll love to build, so from day 1 you will qualify for our generous colleague discount.
Bonus - We do our best work to succeed together.
When goals are reached and if eligible, you'll be rewarded through our bonus scheme.
Workplace - When you join the team you'll be assigned a primary workplace location i.e. one of our Offices, stores or factories.
Our hybrid work policy means an average of 3 days per week in the office.
The hiring team will discuss the policy and role eligibility with you during the recruitment process.
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Unlock Your Senior Engineer Potential: Insight & Career Growth Guide
Real-time Senior Engineer Jobs Trends in Billund, Denmark (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Senior Engineer in Billund, Denmark using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 1023 jobs in Denmark and 81 jobs in Billund. This comprehensive analysis highlights market share and opportunities for professionals in Senior Engineer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! The LEGO Group is currently hiring and seeking a Senior Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Senior Engineer Jobs Billund.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at The LEGO Group adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Senior Engineer Jobs Denmark varies, but the pay scale is rated "Standard" in Billund. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Senior Engineer typically include Engineers and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Senior Engineer interview at The LEGO Group, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the The LEGO Group's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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