Position: Entry level

Job type: Full-time

Loading ...

Job content

At Machine Learning Architects Basel (MLAB), we assist and empower people and organizations in designing, building, and operating reliable machine learning solutions. In doing so, our “Effective MLOps” framework enables us to take a novel and holistic

approach. It revolves not only around the latest technologies but also takes cultural aspects, skills, and process adjustments into account. We thereby:
  • Digitalize and automate processes with bespoke data and AI solutions, from use case identification to implementation and operation (MLOps).
  • Engineer, design, and implement unified analytics platforms and end-to-end ML systems.
  • Enable both technical and non-technical teams and individuals to leverage data science, ML, and reliability engineering in an end-to-end fashion.
Tasks

As part of the Machine Learning Architects Basel team, you will bring in your knowledge of Data Science and Machine Learning, both internally and externally. This is a hands-on position with a variety of responsibilities including:
  • Consulting & Training: You perceive Data Science and Machine Learning as a tool to master the challenges of the Digital Transformation of our clients and help them to understand their full potential.
  • ML Operationalization: You understand how to successfully deliver data and machine learning projects from the prototype phase into production and implement such concepts as traceability, scalability, measurability and automation within a demanding project and technology environment.
  • Concepts: You contribute to our solution blueprints and concepts (e.g., our “Digital Highway” for Machine Learning systems and our “Effective MLOps” concept).
  • Technologies: You evaluate and benchmark technologies, share your knowledge with colleagues, support and train customers.
  • Requirement analysis: You analyse customer requirements and define best-fit solutions for them.
  • Implementation: You help customers roll out Data Science and Machine Learning technologies.
  • Expertise: You strive to become an expert and a trusted advisor in the field of “MLOps” [ML system development (Dev) + ML system operation (Ops)].
  • The 4 Cs of MLOps: You support our customers across the 4 Cs of “MLOps” for Machine Learning systems and help them to design, build and manage data, model and code pipelines: Continuous Integration (CI), Continuous Delivery (CD), Continuous Training (CT), Continuous Monitoring (CM)
Requirements
  • Sound knowledge of Data Science and Machine Learning solutions and solid understanding of their possibilities and limitations.
  • Preferably, a (technical) university master’s degree in computer science, physics or mathematics.
  • Experience as software developer in Python and Bash/Shell, incl. knowledge of design and architecture patterns. Knowledge of R/Scala/Java would also be a plus.
  • Experience in the development and application of machine learning algorithms and the deployment of machine learning models, with a solid understanding of how to manage the end-to-end life cycle of code and data pipelines (i.e., continuous delivery for machine learning).
  • Technical, hands-on experience with distributed systems (Hadoop, Spark) and data structures, SQL and NoSQL databases, cloud services, Docker and knowledge of Kubernetes.
  • Agile development methods and CI/CD.
  • Self-confidence and competence in communication with technical and non-technical stakeholders, incl. management level.
  • High proficiency in both English and German
This position requires applicants to already hold an employer-independent residence permit in Switzerland or citizenship in EU, Switzerland, UK or Norway for regulatory

reasons.

Our team meets at least once per week and works together from our office in Basel. Apart from that remote work is possible and the extent may depend also on customer

requirements.

We look forward to your application including CV and a short statement of your motivation.
Loading ...
Loading ...

Deadline: 13-05-2024

Click to apply for free candidate

Apply

Loading ...
Loading ...

SIMILAR JOBS

Loading ...
Loading ...