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Vincent Claes

AWS Machine Learning Engineer

Works remotely from Leuven

  • 50.8792
  • 4.7011
  • Suggested rate 725 € / day
  • Experience 7+ years
Propose a project The project will begin once you accept Vincent's quote.

This freelancer is available full-time but hasn't confirmed their availability in over 7 days.

Propose a project The project will begin once you accept Vincent's quote.

Location and workplace preferences

Location
Leuven, België
Remote only
Primarily works remotely

Preferences

Project length
  • ≤ 1 week
  • ≤ 1 month
  • Between 1-3 months
  • Between 3-6 months
  • ≥ 6 months

Verifications

Freelancer code of conduct signed
Read the Malt code of conduct

Verified email

Reputation

Languages

  • Dutch

    Native or bilingual

Categories

Skills (8)

  • Architecture
  • API
    Beginner Intermediate Advanced
  • All
  • AWS
    Beginner Intermediate Advanced
  • Beginner Intermediate Advanced
  • Beginner Intermediate Advanced
  • Beginner Intermediate Advanced

Vincent in a few words

- Building production-ready data pipelines in the machine learning field;

- Let data scientists focus on data exploration, feature engineering and modeling;

- Advocating end-to-end ownership and a product mindset;

- Focus on cloud and serverless services.

Websites
--------------
- Github: - Medium: - StackOverflow: - Linkedin:

Experience

KBC

Banking & Insurance

ML (Ops) Engineer  - As a freelancer

Leuven, VB, België

September 2021 - Today (1 year and 6 months)

Setup and maintain the tools data scientists use.
Deploy Models for batch as for real-time inference.
Challenge and evolve the MLOps architecture.

Technology toolbelt: Python, AWS Serverless services, AWS Sagemaker, AWS EKS, Jupyter, MLFlow, Terraform, Concourse (CICD).
Python AWS Sagemaker Terraform CICD

AXA - AXA

Banking & Insurance

Data / ML Engineer

Brussel, VB, België

March 2018 - September 2021 (3 years and 6 months)

Build production ready ML pipelines in the field of Natural Language Processing (NLP);
Develop and implement ML Ops best practices;
Build applications that serve machine learning models;
Focus on serverless cloud services;

Technology toolbelt: Python, Pyspark, Git/Github, Serverless framework, AWS CDK
AWS experience: Glue, Sagemaker, Stepfunctions, Codebuild, Lambda, API Gateway, S3, Athena, Cloudwatch, SNS, SQS, Kinesis Firehose.
Python Apache Spark MLlib Spark AWS CICD ML MLOps

Education

  • AWS Certified Machine Learning – Specialty

    AWS

    2021

    https://www.credly.com/badges/e7ac83b4-1383-4ed4-987a-6e35071e32e1?source=linked_in_profile

  • AWS Certified Developer – Associate

    AWS

    2020

    https://www.credly.com/badges/94d105e1-2108-4e6c-b85b-6e53488a4c4f?source=linked_in_profile

Certifications 

  • Business Engineering
    KUL
    2011