Machine Learning Engineer
Il y a 2 mois
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)**
**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
- 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
- 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**
**Mandatory**:
- Degree in computer science or engineering supplemented by extensive training in data science/ML or related discipline
**Desirable**:
- 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
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.
**Job Segment**:Testing, Cloud, Computer Science, Quality Assurance, Database, Technology
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