Beschreibung
Role: Senior Machine Learning Engineer
Job Location: London, UK & Nuremburg, Germany
Job Duration: Contract, 6 months
Industry: Market Research
Job Description:
- Design, develop and implement data science and machine learning models in proof-of-concepts and prototypes
- Develop, optimize, standardize and implement data science and machine learning solutions at scale in data pipelines and distributed systems (eg Hadoop/Spark/Kubernetes ecosystem)
- Engineer at scale using service-oriented architecture, containerized applications and functions as a service, especially in cloud service environments (ie IaaS, PaaS, SaaS, FaaS)
- Optimize data science and machine learning models using high performance computing (eg GPGPU) and Real Time techniques (eg messaging/streaming services, reactive programming)
- Represent machine learning and data science expertise at workshops and conferences
We look for a profile with complementary skills, such as:
- Expert skills with regard to code performance optimization and scalability (eg, parallelization, sharding, scattering, gathering etc.)
- Solid understanding of service-oriented architectures (eg microservices) & distributed systems (eg Hadoop, Kubernetes).
- Solid knowledge of cloud computing environments and tooling (AWS, Azure).
- Hands-on experience with scalable machine learning frameworks and general data science tooling required.
- Hands-on experience with continuous integration and big data environments required.
- Hands-on experience with Docker & Kubernetes required.
- Background in a statistical or mathematical field, ideally with a computational element, such as Physics, Data Science, Computer Science is a must
- Experience in development of custom machine learning models from prototyping to scalable implementations would be a strong plus.
Our toolset/ecosystem:
- OS: Linux (Ubuntu, Debian, CoreOS)
- Programming languages: Java, Scala, C#, C++
- Analytical languages: Python, Spark (Java, Scala, Pyspark, SparkR), R
- ML-Frameworks: H2O, TF, Spark MLlib, Theano, Torch, Caffe, MXNet, Seldon.io
- HPC: CUDA, Numba, C/C++
- Presentation: Jupyter, Dash, Shiny, Vaadin
- Backend: Flask, Dash, Eve, Spring, Spring Boot
- Big Data: Hadoop, Hive, Spark, Accumulo, Nifi
- Messaging/Streaming: Kafka, Flink
- DevOps: Docker, Kubernetes, Bitbucket, Bamboo, Nexus, ELK, Prometheus, Ansible, Terraform