Machine learning engineer, specialized in Explainable AI / ML Recent Highlights:

* Implementation in Spark/Scala of treeinterpreter, currently used in production

* Participation to the FICO-Google Explainable Machine Learning Challenge

* Intuitive, visual data/signal explorer (work in progress, partial view at http://explicable.ml (the 3D background view))

Location: Paris, France

Remote: yes

Willing to relocate: for the right job, yes

Technologies: SHAP, RuleFit, Random Forest, Word2Vec, PCA, t-SNE, LSH, ROC, Scikit-Learn, Spark, Weka, Databricks, BigQuery, Hive, Postgres, MySQL, Oracle, AWS, Linux, Maven, Git, Java, Scala, Python, CAML, Elm, Javascript, Spring, Primefaces, d3.js

Résumé/CV: https://www.linkedin.com/in/benoitparis/

Github: https://github.com/benoitparis/

Email: benoit@explicable.ml

Location: Anywhere provided that a relocation package is available OR Remote

Remote: Yes (preferably)

Willing to relocate: Yes

Technologies:

• JavaScript (ES6+), React.js, Redux, Vue.js, HTML5, CSS3, Sass, TailwindCSS, Django

Résumé/CV: https://res.cloudinary.com/ddbyzw2mz/image/upload/v156544406...

Email: hi@mrassili.com

Portfolio: http://www.mrassili.com

Github: https://github.com/mrassili

I am open to hiring, contract work or freelance work, available immediately. HMU

Seeking Work/Freelancer

  Focus: looking for projects/consulting in GCP.
  Technologies: GCP 6x certified (all tech certifications) and also good at GoLang, Angular/TS, SQL, some ML, etc.
  Willing to relocate: to singapore or mainland europe but prefer for now to be a digital nomad out of India.
  Email: my user name @yahoo.com