(Senior) Machine Learning Engineer - Quick Commerce (all gender)

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

We are looking for Machine Learning Engineer (f/m/d) to join our Quick Commerce team. We leverage the sciences of data and information processing to build tooling and machine learning capabilities to contribute to the creation of our next-generation platform, which works on expanding our amazing delivery to new products such as groceries, pharmaceuticals, flowers, and more. If you're a creative problem solver who is eager to deliver solutions and hungry for a new adventure, an international workplace is waiting for you in the heart of Berlin!

Your mission:

• You implement end-to-end machine learning solutions and data processing pipelines that integrate with our Global systems. 
• You work in synergy with our data scientists, engineers, partners, and product managers, to facilitate the execution of evaluation experiments at scale and help with practically applicable designs of machine learning models in production.
• You demonstrate excellent software development engineering skills that you use daily for designing computationally effective solutions for machine learning operationalization and maintenance (MLOps/MLaaS) in large-scale production environments. 
• You are also familiar with practical machine learning, encompassing sound use of data preprocessing techniques, analysis, modeling, hyper-parameter tuning approaches, and validation methods.
• Eventually, you are not afraid to build global systems which are used by thousands of people and constantly drive for excellence
• You will work in a goal-driven environment.

Your heroic skills:

• 2+ years of experience in shipping machine learning models in a large-scale production environment
• 4+ years of professional hands-on experience in implementing or prototyping machine learning systems in one or more programming languages including Java, Golang, and Python.
• You know how to make your code run in a container and are enthusiastic about running it in modern infrastructure environments like Kubernetes.
• Excellent computer science knowledge with sound competencies in data structures, algorithms, and software design
• You care about agile software processes, data-driven development, reliability, and disciplined experimentation.
• Knowledge of multi-threading, concurrency, and parallel processing technologies
• Experience with data processing technologies (batch & streaming) and big data technologies
• Strong verbal and written communication skills
• Thrive in a collaborative environment

Nice to have:

• Good knowledge of frameworks like Keras, Tensorflow, PyTorch etc
• Familiar with common CI/CD tools like Jenkins, Drone, spinnaker.
• Familiar with common monitoring / alerting / logging tools such as Prometheus, Datadog, ELK stack, distributed tracing
• Building, maintaining & running a high traffic system in a microservice environment with kubernetes.
• Familiar with communication between microservices best practices.
• Ability to effectively articulate technical challenges and solutions and deal well with ambiguous/undefined problems; ability to think abstractly.