Lead Machine Learning Engineer
il y a 4 semaines
We’re on a mission to help organisations contextualise the environment they operate in.
At Echo Analytics, we work with companies from all over the world. We create, combine, and convert thousands of public and private datasets into meaningful geospatial insights and provide the most accurate commercial Point of Interest (POI) product and mobility insights available in Europe.
What do we do?
We provide companies with fuel to power their products with high-quality geospatial-based datasets. We use data science, machine learning, and human feedback to build the most comprehensive geospatial datasets and insights available in Europe and rapidly expanding.
Echo partners with companies from multiple industries such as retail, mobility, smart-cities, real-estate, advertising, market-research, and financial services.
Who are we looking for?
We are looking for an intermediate/senior Machine Learning Engineer to contribute to enhancing our Data Lake in designing and developing Machine Learning algorithms, which would be integrated in the data pipelines.
To be successful as a ML Engineer, you should have prior software development and big data experience, be able to collaborate with team members, be a strategic problem-solver and an inspiring big data visionary.
The opportunity
As an intermediate/senior ML Engineer, you’ll be joining the R&D team.
Our stack runs on Google Cloud Platform. You will work in an environment made up of Data Lakes (BigQuery, etc.), data streaming platforms (Pub/Sub, Dataflow..), orchestration and scheduling platforms (Airflow), modern deployment (Terraform), and management platforms (GCP). Moreover you will participate in data modelling activities and design of data flows until their implementation and support in production.
This is a unique opportunity to join, build and grow a successful start-up leading its market, from the early stages.
Tasks
Your Role at Echo
We’re currently scaling the team and hiring talents to grow faster. You will contribute to:
- Design and Implement ML algorithms (NLP, Image recognition )
- Develop new features in collaboration with data engineers and data scientists
- Expose the data through APIs, flat files, etc., for external use.
- Design datasets for geo external facing consumers for speed, consistency, cost, and efficiency.
- Manage data observability, scalability, transparency, and accuracy.
- Ensure data is clean, consistent and available. Perform data quality checks, build monitoring systems.
- Investigate, test, implement new tools, processes and technologies on an ongoing basis.
- Continue learning new skills thanks to theEcho Analytics knowledge plan
- Resolve complex problems coming from the data.
**Requirements**:
**What we’re looking for**:
- Fluency in English (French is a plus)
- At least 5 years of experience in Big Data, Data warehousing in tier-1 software companies.
- 5+ years of experience on Computer Vision problems, experience in other topics ( NLP, Time Series ) is a plus
- Proficiency in a deep learning framework ( Pytorch, Tensorflow..)
- MlOps knowledge
- Management experience
- Good organisational leadership skills.
- Comfortable working with the Google Cloud Platform stack.
- Experience with Data flow, Data Processor, Airflow, Kafka, Pub/Sub, Spark, or other streaming technologies is a plus.
- Strong experience in Agile Methods (Lean is a plus).
- Working knowledge in DevOps: GitHub CI/CD, Terraform.
**Benefits**:
**What we offer**:
The opportunity to join an early stage fast-growing start-up and to scale with us
- Attractive remuneration package with stock incentives (employee equity plan - BSPCE)
- A great international team based in Paris and Bordeaux
- A contemporary office space in the centre of Paris or Bordeaux
- Remote-friendly policy
- Ticket Restaurant: Swile
- Weekly team lunch
- Healthcare: Alan
- An amazing and supporting work environment focused on your professional growth and development
**Hiring process**:
1\. Send us your CV and Cover Letter
**Make sure to highlight**:
a. Your previous achievements
b. Your motivation
c. Your added value to Echo
2\. Video-call
3\. In-person meeting in our Parisian office
We are looking forward to hearing from you
**Office location**: Paris - Pont Cardinet - Batignolles
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