AI Platform Engineer

il y a 4 semaines


Paris, Île-de-France MOTION-ISE Temps plein
Company Overview:
Motion is a technology-driven B2B and B2B2C enterprise specializing in SaaS, Artificial Intelligence, Analytics, and Online Marketplace solutions.

Position Summary:
We are seeking an AI Platform Engineer with a strong background in developing machine learning-powered platforms from inception. The ideal candidate will take charge of defining the comprehensive vision for our machine learning strategy, particularly in relation to testing and product development.

Key Responsibilities:
1. Contribute innovative concepts and effective implementations to the team.
2. Plan and construct scalable, maintainable data pipelines, services, and products.
3. Collaborate with data scientists, engineering teams, industry experts, and business stakeholders across various sectors of the Motion ecosystem.
4. Lead the ML/AI platform team in designing, implementing, and maintaining scalable features and services to support end-to-end ML/AI pipelines.
5. Engage with engineering and operations teams to develop machine-learning solutions for diverse tasks and projects utilizing a variety of tools and techniques.
6. Serve as a trusted advisor on best practices in machine learning development.
7. Work closely with the ML/AI algorithms team and other engineering teams to deliver cutting-edge machine learning solutions to our customers.

Qualifications:
- Minimum of four years of hands-on experience applying machine learning techniques to create models integrated into applications.
- Additional experience in data visualization, data analytics, and data mining.
- Strong software development skills, particularly in Python, with knowledge of Spark, Hive, and Cassandra being advantageous.
- Experience with cloud platforms such as Microsoft Azure and AWS, along with proficiency in Linux and Docker.
- At least 2 years of experience in data structures, algorithms, and concurrent programming.
- Familiarity with cloud development principles, particularly loosely coupled architectures and microservices.
- Proficient in using machine learning and statistical analysis libraries such as GraphLab Create, scikit-learn, scipy, NetworkX, Spacy, and NLTK.
- High level of autonomy and the ability to solve complex problems involving various teams.
- Capable of analyzing existing database schemas and assessing impacts of migrations to new environments.
- Ability to communicate and present machine learning concepts to both technical and non-technical audiences.

Work Environment:
This position offers a hybrid work model, allowing for both on-site and remote work arrangements.

Compensation:
This is a paid position that will be commensurate with experience and performance.

Application Note:
To enhance your application, consider including a pitch, presentation, or link to an introductory video that showcases your ideas for the role or highlights your past achievements.
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