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- Tasks: Design and implement ML systems for a transformative healthcare platform.
- Company: Onsera Health, a fast-paced and innovative healthcare tech company.
- Benefits: Competitive salary, equity participation, and comprehensive benefits package.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Join us to tackle critical healthcare challenges with cutting-edge AI technology.
- Qualifications: Over 5 years of experience in machine learning engineering and strong Python skills.
The predicted salary is between 60000 - 80000 £ per year.
Onsera Health seeks a Senior Machine Learning Engineer to develop the AI infrastructure for a transformative healthcare platform. You will design and implement ML systems, collaborating closely with data science and platform engineering teams.
Candidates should have over 5 years of experience in machine learning engineering and strong Python skills. The role offers a competitive salary and benefits package, including equity participation, in a fast-paced and innovative environment. Join us in addressing critical healthcare challenges.
Senior ML Engineer, AI Platform & MLOps on GCP employer: Onsera Health
Contact Detail:
Onsera Health Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer, AI Platform & MLOps on GCP
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at Onsera Health. A friendly chat can sometimes lead to insider info or even a referral, which can give your application a serious boost.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best ML projects. Whether it's a GitHub repo or a personal website, having tangible evidence of your expertise in Python and ML systems will make you stand out.
✨Tip Number 3
Ace the interview prep! Research common ML engineering interview questions and practice your answers. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the team at Onsera Health and tackling those healthcare challenges head-on.
We think you need these skills to ace Senior ML Engineer, AI Platform & MLOps on GCP
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 5+ years of experience in machine learning engineering. We want to see how you've tackled real-world problems and what impact your work has had in previous roles.
Python is Key: Since strong Python skills are a must, don’t forget to showcase your proficiency. Include specific projects or examples where you’ve used Python to develop ML systems or solve complex problems.
Collaboration is Crucial: We love teamwork! Mention any experiences where you collaborated with data science or platform engineering teams. This shows us you can thrive in our fast-paced environment and contribute effectively.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to see your application and get you on board to tackle those critical healthcare challenges!
How to prepare for a job interview at Onsera Health
✨Know Your ML Fundamentals
Brush up on your machine learning fundamentals, especially those relevant to healthcare applications. Be prepared to discuss algorithms, model evaluation metrics, and how you've applied them in past projects.
✨Showcase Your Python Skills
Since strong Python skills are a must, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges that involve data manipulation and ML libraries like TensorFlow or PyTorch.
✨Collaborative Mindset
This role involves working closely with data science and platform engineering teams. Prepare examples of how you've successfully collaborated in the past, highlighting your communication skills and ability to work in a team.
✨Understand GCP and MLOps
Familiarise yourself with Google Cloud Platform and MLOps practices. Be ready to discuss how you would leverage GCP for deploying ML models and managing workflows, as this knowledge will set you apart from other candidates.