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- Tasks: Develop and optimise AI systems, enhancing infrastructure for impactful health technology.
- Company: Leading health tech company focused on innovation and mission-driven solutions.
- Benefits: Competitive salary, flexible working arrangements, and professional growth opportunities.
- Why this job: Join a dynamic team and make a difference in health technology with your AI skills.
- Qualifications: 4+ years in machine learning, strong Python skills, and cloud platform knowledge.
The predicted salary is between 43200 - 72000 £ per year.
A leading health technology company is searching for an AI/ML Platform Engineer to join their team. In this role, you will be responsible for developing and optimizing AI systems, with a focus on enhancing infrastructure.
The ideal candidate should have over 4 years of experience in machine learning, strong Python skills, and a solid understanding of cloud platforms.
This position offers a competitive salary, flexible working arrangements, and opportunities for professional growth in a mission-driven environment.
AI Platform Engineer — LLM/MLOps at Scale employer: Flo Health Inc.
Contact Detail:
Flo Health Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Platform Engineer — LLM/MLOps at Scale
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs and MLOps. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and cloud platform knowledge. Practice common technical questions and be ready to discuss your past experiences in detail. We want you to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Platform Engineer — LLM/MLOps at Scale
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Cloud Knowledge: Since this role involves cloud platforms, make sure to mention any relevant experience you have. Whether it's AWS, Azure, or Google Cloud, we want to know how you've used these tools to optimise AI systems.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Flo Health Inc.
✨Know Your Tech Inside Out
Make sure you brush up on your machine learning concepts and Python skills. Be ready to discuss specific projects you've worked on, especially those involving AI systems and cloud platforms. This will show that you not only understand the theory but can also apply it in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about how you would optimise AI infrastructure or solve common issues in MLOps. Practising these scenarios beforehand can help you articulate your thought process clearly.
✨Align with Their Mission
Research the health technology company’s mission and values. Be ready to explain how your experience and goals align with their objectives. This shows that you’re not just looking for any job, but that you genuinely want to contribute to their mission-driven environment.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the team, projects, or technologies they use. This demonstrates your interest in the role and helps you gauge if the company is the right fit for you. Plus, it gives you a chance to engage in a meaningful conversation.
