Machine Learning Engineer H/F - Alstom Saint-Ouen - 41

Req ID :471875

At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, more than 80 000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars.

Machine Learning Engineer (F/H/X)

Alstom announces an opening for a Machine Learning Engineer in Saint Ouen sur Seine. This position supports Alstom Data Science and AI programs by developing, testing, validating, and industrializing data-driven solutions in the mobility domain. The primary goal of these programs is to develop, deploy, and maintain AI/ML software modules to improve customer performance and experience using existing and new data analytics, supported by advanced simulations and domain expertise. The main purpose of this position is to develop machine learning systems using appropriate tools and algorithms to support the R&D and deployment at industrial grade of analytics applications. In this capacity, you will BE able to work on our next generation data-driven solutions for the Mobility industry, within a lean startup environment, in collaboration with engineering & mobility experts, data engineers, DEVOPS/MLOPS engineers, and HMI designers/storytellers.

Key accountabilities :

Develop, deploy, and maintain Machine Learning models and retraining systems :

Integrate data science models into Data and ML pipelines in collaboration with data scientists and data engineers
Design and execute machine learning tests and experiments, by applying best practices for experiment tracking and model registry
Build and orchestrate MLOPS pipelines including CI/CD to automate data ingestion and transformation, model (re-)training, (re-)deployment, inference and monitoring
Support the industrialization of scalable data science solutions through automation and continuous delivery
Identifying changes in models and shifts in data distribution that could affect model performance, and apply appropriate measures for protecting against drifts
Apply strong testing and quality assurance practices
Support field trials with our customers using the mobility analytics software modules and tools
Analyses and checks the suitability of an algorithm if IT caters the needs of the current task/business problem
Attend meetings, submit work progress reports and perform related duties as required.

Performance measurements :

Number of models deployed and kept compliant with requirements according to prescribed performance metrics
On Time Delivery (OTD)
Developments Quality Cost Delivery (QCD)

Educational Requirements


Degree in computer science or engineering supplemented by extensive training in data science/ML or related discipline


Master's degree in the fields of statistics or machine learning or applied mathematics or related disciplines

Experience

Mandatory :

Excellent knowledge of Python programming, with software engineering skills including DEVOPS and CI/CD pipelines
Experience with Python data science stack (pandas, scikit-learn, Keras, Numpy, TensorFlow)
Experience in building supervised and unsupervised ML models and in optimizing model (hyper-)parameters tuning for performance and costs
Strong mathematical skills (probability and statistics, algebra, optimization)
Knowledge of continuous integration tools and technologies (Jenkins, Ansible, Git)
Experience with SQL/NoSQL database management
Experience with LINUX environment (shell scripting)

Desirable :

Experience with cloud technologies, preferably on Azure
Experience with containerization and orchestration tools (Docker, Airflow, NiFi, Kubernetes, OpenFaaS) for production
Experience in MLOPS frameworks (e.g. MLFlow and DVC)
Experience in big data technologies (e.g. Spark, Hadoop, Apache Kafka etc.)
Proficiency with web APIs development and design (e.g. REST)
Experience in writing technical documentation
Agiles procedures

Competencies & Skills

Proven track record in development of high-quality ML solutions, including implementation of testing strategies and debugging
You are truly passionate about machine learning algorithms and technologies, ready to take new challenges, you are proactive and possess strong organizational and planning skills, along with excellent communication and presentation capabilities
Flexibility to work successfully with both local and remote / international teams
Fluent English

Perspective candidates will BE asked to present their previous work (if possible) to demonstrate their ML proficiency levels

You don't need to BE a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, you'll BE proud. If you're up for the challenge, we'd love to hear from you !

Important to note

As a global business, we're an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. We're committed to creating an inclusive workplace for everyone.

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Testing, Quality Assurance, Cloud, Computer Science, SQL, Technology