Machine Learning Engineer
il y a 2 semaines
**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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Machine Learning Engineer
il y a 6 jours
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