Machine Learning Engineer
il y a 3 jours
**ENTREPRISE**
- ** Description** : Wildsense is on a mission to build a wilder world. Their aim is to restore & protect 1% of the planet by 2030.
- ** Année de création**: 2020
- ** Coeur business **:GreenTech
- ** Taille **:15 personnes
- ** Localisation**: Asnières-sur-Seine - Remote
**Wildsense**
Wildsense is on a mission to build a wilder world. Our aim is to restore & protect 1% of the planet by 2030. Founded in 2020, Wildsense certifies high-quality restoration projects to make them eligible for funding on the voluntary carbon markets. We are a remote-first company with offices in Paris metropolitan area and hiring worldwide.
**MISSIONS**
**Job brief**
The Machine learning engineer will play a key role in developing a product that will enable Wildsense to certify reforestation projects. This position will serve as a bridge between our Remote sensing engineer and our data engineer, building deep learning models that will let us calculate the carbon stock of a determined field.
**Responsibilities**
- Work collaboratively across multidisciplinary teams - to devise, implement, and test best in class tools to improve the information from sensory satellites to project developers on the field.
- Be a technical leader for the team, enabling data engineers and data scientists to work together.
- Develop cloud based production level ML products.
**Wildsense - Who we are**
- ** We roll up our sleeves** We love a good challenge We find hope through action.
- ** We're adaptable.** _"It is not the strongest of the species that survive, nor the most intelligent, but the one more responsive to change."_ ~ Charles Darwin
- ** We build for scale.** Our systems and communication are simple, scalable, and transparent.
- ** We give a damn** We care about nature, each other and our work.
- **️ Recruitment Process**:
- Screening call with HR - 30 min
- Call related to job with the hiring manager and CTO - 1 hour
- Technical test - 2 hours
- Debrief with HM and team - 1 hour
- Last step - getting to know our founder -30 min
**PROFIL RECHERCHÉ**
**Requirements and skills**
- At least two years of experience working as a Machine Learning engineer (apprenticeships included) building deep learning models.
- Demonstrated experience with Python is required
- Experience in backend development (Flask, FastAPI, etc) is a plus
- Experience in model development using popular frameworks such as SKlearn, Tensorflow or Pytorch is highly appreciated
- Experience with different kinds of databases and object storage: SQL, No-SQL, S3, GCS is desirable
- Understanding of big data frameworks such as Spark or Dask is a plus
- Understanding of Cloud Computing, preferably AWS or GCP. Experience with it is a much appreciated plus.
- Open and collaborative working style engaging with stakeholders to devise, implement and test
- Ability to work and communicate clearly and successfully across teams to deliver at pace
- Thirst and curiosity to learn and take opportunities
- Flexibility - quick to adapt approach as needed
- Openness, ability to question and challenge as necessary
Experience : 0 - 2 ans
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