AI Lab - ML and Data Science freeform submission Job at Abi Global Health, Ireland

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  • Abi Global Health
  • Ireland

Job Description

Abi is a global virtual care platform, providing patients with on-demand, omni-channel access to healthcare professionals in 40 countries around the world. Our mission is to make professional healthcare as easy to access as advice from a friend. 

By radically reducing barriers to professional healthcare access, we contribute to the United Nations Sustainable Development Goal 3 “to ensure healthy lives and promote well-being for all."

Our AI Lab is continuously looking to engage with and hire great Data Science / Machine Learning (ML) professionals . Should you be considered for a potential vacancy in our AI Lab, your involvement will be critical in building and improving the AI/ML solutions and infrastructure supporting our products and services, and in contributing to the continuous innovation cycle of the company.

Responsibilities

You will contribute to the development and evolution of the AI-based features of our services, ensuring the robustness and scalability of our models and solutions in a real-life and fast-growing global environment.

You will use your experience to coach and support more junior colleagues in the AI Lab, promoting a strong team-work and effective working environment.

What you'd do (contingent on project development)

  • Study and transform data science prototypes

  • Design, train and retrain machine learning systems

  • Research and implement appropriate ML algorithms and tools

  • Extend existing ML libraries and frameworks

  • Select appropriate datasets and data representation methods

  • Run machine learning tests and experiments

Requirements

You are available for a full time role, working remotely and/or in our office in Barcelona.

You are a resident of Spain, Ireland or UK.

Your attributes

  • You are passionate about AI powered products and services, and are confident that your technical skills in the field will add value to Abi's mission.
  • You can absorb new information rapidly and think out of the box.
  • Outstanding analytical and problem-solving skills
  • You are curious by nature and you apply that curiosity in your professional life.
  • You are comfortable working independently and managing your own time.
  • You prefer to work in an international environment.
  • The startup world appeals to you as a professional choice

Your skills and experience

  • Strong knowledge of ML algorithms, statistics and software development

  • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)

  • Experience working in the cloud (AWS Sagemaker, Azure ML or GC ML)

  • Excellent communication skills. You speak and write English at a professional level.

Benefits

  • Competitive compensation plus:
  • Work equipment after you complete probation (laptop, screen and peripherals)
  • Flexibility to manage your own time
  • Co-working allowance whenever away from your home base
  • Quarterly on-site in Barcelona or Dublin with all travel expenses included
  • Private health insurance
  • Travel insurance, covering business and personal travel
  • Classpass fitness membership wherever it is available
  • Coursera account with access to online training from top universities worldwide
  • A streaming service of your choice (Netflix, HBO, or Disney+ account)

What else

  • You will work in a dynamic, international environment with colleagues, clients and partners from around the world.
  • You will have the opportunity to develop your skills and your career quickly and to establish yourself in a fast-growing company with global ambitions.
  • You will be able to offer your friends and family free access to the Abi medical micro-consultation service, and use it yourself.
  • We encourage applications from those with traditionally marginalised gender, racial, caste, linguistic, ethnic, religious, class or sexual identities.

We look forward to learning more about you!

Job Tags

Full time, Worldwide, Trial period,

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