Machine Learning Engineer
Pernod Ricard
Keywords
Skills
AWS, Python, C++, Pytest, object-oriented coding, Unix, Docker, Pytorch, RNN, Pandas, Numpy, Databases, Cloud, Snowflake, Postgres, git, Github, Azure, Azure devops, Machine Learning, databases, Azure ML, Python libraries, algorithms, data science, APIs, GCP, dbt
Project history
01/2022
-
10/2022
* Implemented CI/CD pipelines with Azure, managed releases and generated release notes automatically.
* Developed a Streamlit web app and an api with multiple endpoints triggered daily.
* Managed the config and connections with different Snowflake databases.
* Optimized code and decreased execution time by 80%.
* Created Docker files for dev/test environments.
* Proposed, monitored and published drift metrics using Azure ML.
* Developed a Streamlit web app and an api with multiple endpoints triggered daily.
* Managed the config and connections with different Snowflake databases.
* Optimized code and decreased execution time by 80%.
* Created Docker files for dev/test environments.
* Proposed, monitored and published drift metrics using Azure ML.
02/2021
-
01/2022
Machine Learning Engineer - Data Scientist
Huawei
* Supported researchers/data scientists in the team to improve their code and make it more reproducible.
* Developed Python libraries for generative classification models.
* Developed hyper-parameter optimization algorithms such as successive halving and Bayesian hyperopt.
* Developed several functionalities for the Machine Learning pipelines creation tool used internally.
* Developed Python libraries for generative classification models.
* Developed hyper-parameter optimization algorithms such as successive halving and Bayesian hyperopt.
* Developed several functionalities for the Machine Learning pipelines creation tool used internally.
10/2019
-
01/2021
Machine Learning Engineer
Nokia
* Built machine learning features to support code bug categorization and retrieve relevant developers.
* Trained (un) supervised models, designed APIs and apps in a team of 8 engineers and data scientists.
* Decreased time spent to correct bug issues by 50% leading to fewer expenses (~2Million euros per month)
and increased customer satisfaction consolidating Nokia's position in the market.
* Trained (un) supervised models, designed APIs and apps in a team of 8 engineers and data scientists.
* Decreased time spent to correct bug issues by 50% leading to fewer expenses (~2Million euros per month)
and increased customer satisfaction consolidating Nokia's position in the market.
03/2018
-
09/2019
Software Engineer
5G: Nokia
* Implemented 2 top-priority features increasing 5G's spectral efficiency and bandwidth.
* Prepared user stories, wrote, tested, and reviewed code in a team of 8 software engineers.
* Created an environment of productivity that was instrumental in reducing coding time by 20%.
* Achieved ~1Gbps (x10 compared to 4G), the highest throughput for wireless networks.
* Prepared user stories, wrote, tested, and reviewed code in a team of 8 software engineers.
* Created an environment of productivity that was instrumental in reducing coding time by 20%.
* Achieved ~1Gbps (x10 compared to 4G), the highest throughput for wireless networks.
03/2015
-
03/2018
Software Engineer
Orange
Orange is France's number one telecom operator and a company that specializes in cybersecurity risk aversion, cloud computing, and
connectivity solutions and is represented throughout Europe and Africa.
* Proposed new 5G algorithms optimizing the beamforming procedure (coding information streams to
cancel interference between different mobiles).
* Collaborated with 5 scientists to mathematically model 5G beamforming, then coded models to enrich
Orange's 5G simulators.
* Introduced findings to international conferences and telecom consortiums.
* Filed a patent to protect the originality of the algorithms and to increase Orange's revenue.
connectivity solutions and is represented throughout Europe and Africa.
* Proposed new 5G algorithms optimizing the beamforming procedure (coding information streams to
cancel interference between different mobiles).
* Collaborated with 5 scientists to mathematically model 5G beamforming, then coded models to enrich
Orange's 5G simulators.
* Introduced findings to international conferences and telecom consortiums.
* Filed a patent to protect the originality of the algorithms and to increase Orange's revenue.
03/2015
-
09/2015
Data Scientist
Agoranov
Agoranov is a mid-sized (~50 people) incubator dedicated to the development and promotion of innovative entrepreneurs focusing
on industry, green tech, and health.
* Introduced a statistical model explaining 10 success factors of startups.
* Analyzed data from CrunchBase dataset and other internal sources in a team of 3 analysts, using R.
* Published the study internally to the benefit of all incubated startups.
on industry, green tech, and health.
* Introduced a statistical model explaining 10 success factors of startups.
* Analyzed data from CrunchBase dataset and other internal sources in a team of 3 analysts, using R.
* Published the study internally to the benefit of all incubated startups.
02/2014
-
09/2014
Project Manager
Orange
* Analyzed cost-effective solutions to reduce latency in 3G/4G networks.
* Led the testing phase, contributed to choosing solutions and coordinated Proof of Concepts. Worked in a
team of 6 people from diverse backgrounds.
* Helped decrease Orange's 3G and 4G latency by 30%, increased customer's quality of experience, and
decreased retention by at least 10%.
* Led the testing phase, contributed to choosing solutions and coordinated Proof of Concepts. Worked in a
team of 6 people from diverse backgrounds.
* Helped decrease Orange's 3G and 4G latency by 30%, increased customer's quality of experience, and
decreased retention by at least 10%.
Local Availability
Only available in these countries:
France
Remote/Paris/Could travel occasionally
