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Machine Learning Engineer

Plný úvazek
Paris
Plat: Neuvedeno
Několik dní doma
zkušenosti: > 1 rok

Kili Technology
Kili Technology

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ABOUT US

According to Gartner, 80% of AI projects never reach deployment. Kili helps organisations address this problem with a data-centric approach to AI.

Our complete data-centric AI training platform empowers organisations such as SAP, Airbus and Capgemini to transition from "big data" to "good data". This approach fuels their AI projects with enhanced quality, accelerated go-to-production cycles and stronger transparency.

The company secured over $30 million from tier 1 VCs (Serena Capital, Headline, Balderton) and support from top business angels (CEO Algolia, CEO Datadog, and others..). We are on our way to become a leading player in the field of AI.

At Kili it is key to ensure an environment where all our talents feel empowered to create and take risks together. Our goal is to foster our culture based on care, honesty, curiosity while being ambitious.

We are looking for a Machine Learning Engineer to join our fast-growing and dynamic team.

 

ABOUT THE ROLE

You will have the opportunity to impact the development of the market’s most versatile and efficient data annotation platform!

We develop our own in-house ML software stack that helps our users automate data-centric ML systems creation.

If you are looking for exciting challenges, impacting thousands of users, and working on state-of-the-art ML tools, come and join us!

Key Responsibilities:

  • Build ML-data-related tools and APIs for customers
  • Define clear and long-term APIs to use Kili programmatically (REST, command line interface, Python, …).
  • Implement them with appropriate technical solutions and architecture.
  • Optimize performance and reliability.
  • Connect to the MLOps ecosystem.
  • Communicate on the developed tools
  • Write blog articles to describe the newly-released tools.
  • Present the Kili developer tools in events (meetups, conferences, conventions).
  • Contribute to ML engineering tasks:
  • Help choose the right MLOps tools to guarantee internal ML pipeline reproducibility and monitoring.
  • Help integrate the ML model results into the Kili webapp.
  • Help connect the Kili platform to our customers’ ML pipelines.
  • Maintain a strong market watch on the latest developments in methodologies, technologies, and tools.
  •  

    ABOUT YOU

    You have/you are :  

  • Have a minimum of 1+ years of professional experience in software development.
  • Some knowledge of Machine Learning, or at least a strong interest. 
  • Demonstrate excellent programming skills in Python, and experience working with complex frameworks (scikit-learn, django, pytorch, …) 
  • Possess good communication skills: you can explain your work and the technical choice you made, both orally and in writing.
  • Be product-driven, humble, structured, organized, and a relentless doer.
  • Enjoy working as a team-player and learning from others.
  • Be fluent in English.
  •  Nice to have skills

  • Development experience in Typescript / Javascript (node.js, React…)
  • Demonstrate previous use of machine learning packages: Scikit-Learn, PyTorch, Keras ...
  • Have some experience applying ML to natural language processing (knowledge extraction, translation, semantic matching, ...) or image processing.
  •  

    What we offer : 

  • The opportunity to work in an international and friendly work environment
  • Flexible work organisation and fully remote work
  • Afterworks every Thursday and 2 off-sites per year
  •  

    Kili is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, gender, sexual orientation, age, colour, religion, national origin, protected veteran status or on the basis of disability.

    Applying at Kili is also the opportunity to access a broader network. Should we not proceed with a job offer, we would be pleased to refer you to the Talent Club. The talent club was created by Serena and aims at offering talents great opportunities in innovative companies (Dataiku, Malt, Libeo…)

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