At a Glance
- Tasks: Lead the Databricks Lakehouse Platform and MLOps services for optimal performance.
- Company: Join a forward-thinking company focused on AI and data innovation.
- Benefits: Enjoy a hybrid work model, competitive salary, and career development opportunities.
- Other info: Work in a dynamic environment with global reach and growth potential.
- Why this job: Be at the forefront of ML operations and make a significant impact in AI infrastructure.
- Qualifications: Experience in MLOps and strong collaboration skills with data teams.
BSI is seeking a Platform Manager for Machine Learning Operations to own the Databricks Lakehouse Platform and MLOps services, ensuring high availability, security, and performance across our global data platforms. This permanent, hybrid role is based in London/Milton Keynes with involvement in Kuala Lumpur, and requires coordinating incident, change, and release processes, partnering with Data Engineering and Data Science teams to operationalize ML models.
ML Ops Platform Lead | Databricks & AI Infrastructure employer: BSI
BSI is an excellent employer for those passionate about the medical devices sector, offering a dynamic and inclusive work environment that fosters creativity and excellence. With opportunities for professional growth and development, employees can thrive while delivering impactful training solutions that enhance client performance. The remote nature of this role allows for flexibility, making it an ideal position for those seeking meaningful and rewarding employment in a supportive setting.
StudySmarter Expert Advice🤫
We think this is how you could land ML Ops Platform Lead | Databricks & AI Infrastructure
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like BSI!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like ML Ops Platform Lead | Databricks & AI Infrastructure at BSI.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like BSI.
✨Apply Directly through Our Website
When you find a suitable opening like ML Ops Platform Lead | Databricks & AI Infrastructure at BSI, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at BSI, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at BSI. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at BSI
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at BSI!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
