Lead Machine Learning Engineer
il y a 2 semaines
**LEAD MACHINE LEARNING ENGINEER (F/H/NB) ****:
Paris
Full-Time
***
**About**:
Ipsos Synthesio is a leading marketing SAAS company. Our technology powered with cutting-edge ML models allows global brands to make business decisions based on online consumer feedback. Synthesio centralizes public data from many providers, such as posts on social networks, press articles, forums, search data, and more. After the collection phase, Synthesio enriches it through AI and provides intelligence in many visualizations and APIs.
Lastly, at Synthesio, we have a strong tech culture. This means the teams have an important role. Each project team (“squad”) is empowered, owns together the success of the sprint, and chooses their deliverables and their timelines.
**Our department**
The Synthesio product engineering department is focused on data provisioning, enrichment, and exploitation.
Synthesio crawls numerous public consumer data footprints including social, reviews and ratings, survey, search, and press data, representing an average of 70M new documents per day. Each document is then analyzed and enriched using custom NLP and image recognition models developed by our ML engineers. All this data is stored in databases and can be accessed by our customers via our dashboarding solution or our APIs. Within dashboards, we harness users with the latest technologies, like Generative AI, to streamline their analysis.
ML stack Python, Pytorch, Huggingface libraries, sklearn, numpy, pandas, DVC, MLflow Serving: Sanic, Triton Inference server
**Our platform**
Our platform uses a microservice architecture containing 180+ microservices, most of them written in Go and using Kafka or HTTP to communicate.
The hardware infrastructure is composed of hundreds of rented bare metal servers running Debian. A big part of it is dedicated to storage, including:
1 PB+ Elasticsearch, 750TB+ MySQL clusters, 150 TB+ Scylla DB, and 250TB+ of Kafka.
- Our ML microservices run on multi-GPUs machines**Job Description**:
As a Lead Machine Learning Engineer, you will:
- Develop and implement machine learning models using state-of-the-art algorithms in areas such as NLP, computer vision, and generative AI.-
- Improve existing machine learning systems, e.g. automated sentiment & emotion analysis, named entity recognition, logo detection, scene recognition, topic modeling, etc.-
- Perform statistical analysis and tune using test results.-
- Extend the MLOps pipelines to improve data and model delivery speed and quality-
- Keep abreast of developments in the field.-
- Collaborate with the rest of the team during team sync meetings-
- Write documentation and review merge requests**Preferred Experience**:
You have:
- A proven experience as a Machine Learning Engineer or similar role especially in NLP-
- A strong background in computer science and software engineering: data structures, algorithms, object-oriented programming, code writing, and reviewing. Deep knowledge of machine learning algorithms (supervised, unsupervised, deep learning, transformers,...), probability and statistics.-
- An outstanding analytical and problem-solving skills-
- An excellent written and oral communication skills.-
- A good ability to work in a team-
- A good level in English and French (fluent). This includes writing, speaking, and readingYour soft skills:
- Rigor and strong appetite for software quality-
- Passion to discuss and explain technical choices-
- Can-do attitude-
- Good communicator, self-starter, and collaborative enthusiast-
- Independent, self-organizing, and able to prioritize multiple complex assignments**Additional Information**:
- Contract Type**:Full-Time**:
- Location**:Paris**:
- **Possible partial remote
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