Aller au contenu principal
Jonathan Sands

Jonathan Sands

ML engineer

Talents
ParisMembre depuis 11 août 2026
TensorflowKerasOpenCVNLTKHiveKafkaDataikuGit
·

Recruter cette personne

Envoyez une offre d'emploi directement à ce candidat

TensorflowKerasOpenCVNLTKHive

À propos

Looking for a full-time job as a Machine Learning engineer in Paris or nearby.

Expérience

Data Scientist at Deep Blue Capital (10-2022 – 02-2023)

  • 5-month stock mid-price prediction project using Deep Learning (LSTMs)

ML Engineer at Deep Blue Capital (10-2024 – Present)

  • Leveraging financial news streams across 500+ stocks for market prediction using a mixture of LLMs and ML models, with iterative model evaluation

Experienced Data Consultant at Amaris Consulting (Data center of excellence) (02-2023 – 09-2025)

Lead ML engineer / scientist at CEVA Logistics (10-2024 – 08-2025)

R&D on air spot price prediction across 1- to 4-week forecast horizons using data engineering and ML on Dataiku

Lead data engineer at Proximus (02-2024 – 10-2024)

Automating daily Big Data quality monitoring across 3 data zones and 4 storage / streaming systems (Hive, HDFS, ELK, Kafka) using the Apache ecosystem

Data scientist at UCB (02-2023 – 09-2023)

R&D on detecting 2- to 10-second epileptic seizures in 256 Hz EEG recordings with Deep Learning (CNN / LSTM mix)

Intern data analyst at EAC / European Space Agency (03-2022 – 09-2022)

  • Data analytics on the Astronaut Training Database during a 6-month internship for knowledge discovery

Intern data scientist at SIREHNA (04-2021 – 09-2021)

  • R&D for autonomous vessels during a 6-month project using Reinforcement Learning (+CNN)

Formation

Bachelor in Mathematics in Mathematics – ULB / Sorbonne Université (2023)

Engineering degree (Master's) in AI & Data in AI & Data – ESILV (2019 – 2022)

Undergraduate in Computer Science and Software Engineering in Computer Science and Software Engineering – EPITA (2016 – 2019)

Compétences

ML engineer

Avis

Autres personnes similaires

Associé