The organization manages a large-scale design infrastructure which enables R&D activities in the organization. The design infrastructure consists of 10,000 plus servers located in 7 multi-cloud data centers across the globe. Most of the servers run Linux. The servers are part of high-performance distributed computing clusters (HPC) used for Electronic Design Automation (EDA) Simulations.
The R&D IT Hardware Design Environment team (HDE) supports over 8,000 IC designers throughout the company, with compute, storage, network, and EDA licenses services. These services aim at reduced lead times and improved quality of our IC design projects.
Our HDE team supports many key IT services which are utilized by our designers to complete their new product introduction and project objectives. Each of our services, (VDI, HPC, EDA Tools, and EDA Licenses), must function in unison. A deficiency in one service can impact the functionality of the design environment, and ultimately a design team’s business deliverables.
As a MLOps specialist you will be part of a global team that is practicing the Agile way-of-working and collaborating with a geographically diverse business stakeholders to develop and enhance complex systems and/or software from user stories and technical/architectural specifications. Your team will analyze complex technical system problems and create innovative solutions that exceed customer expectations.
You’ll be involved in various data science projects that drive business value and improve our Hardware Design Environment resource utilisation. Surrounded by a supportive team of more experienced tech professionals who make sure you’re confident and ready to keep building your skills and a career.As a MLOps specialist, your responsibilities would be
Support data scientists of the HDA team with the transition to MLOps practices in an AWS oriented environment;
Working with your team, using our AWS-based Data Lake, and Tableau Cloud to enable AI and machine learning;
Contribute with your team being a strategic partner, and work with (business) stakeholders to define high impact analytical challenges and find innovative ways to solve them with data.
Work in a dynamic and exciting agile environment with scrum masters, product owners, and team members to develop creative data-driven solutions that meet business and technical demand;
Collaborate and brainstorm with other teams on innovative data-driven solutions;
In consultation with the team flexibility in working hours and location;
Continuous development of yourself as an individual with coaching, experiments and room for failure.
Job QualificationsOur ideal candidate has the following qualifications
A Continuous Integration & Continuous Deployment (CI/CD) specialist who knows how to implement these principles for data science products and can coach a team in adopting these methods in their way of working;
A guru when it comes down to deployment- and test-automation;
Know your way with popular data science languages like Python and SQL;
Practical experience in working with cloud platforms like AWS (certification is a big pro);
Practical experience with solution architecture and design;
A great English-speaking communicator, both verbally as in writing.
Soft skillsOur ideal candidate has the following soft skills
A self-starter who is not afraid to take initiative with a strong desire to increase efficiencies and make an impact while contributing to a cross-functional team;
An analytic thinker for whom no technical challenge is too big;
A coach who knows how to involve a complete team when driving a cultural change like a transition to MLOps.