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Machine Learning & AI Engineer

Location:
Munich, Bayern
Salary:
Negotiable
Job Type:
Permanent
Date Posted:
16 days ago
Expiry Date:
08/03/2024
Job Ref:
BBBH106956_1707313906
Start Date:
07/02/2024
Contact:
Steven Waterson
Contact Email:
steven.waterson@xcede.de
Specialism:
Machine LearningAI Engineering

Machine Learning & AI Engineer

Fully remote in Germany

 

The sense of job satisfaction will be tangible as you stretch your knowledge and capabilities into new areas of pioneering research and development.

Requirements

  • You will have a track record of academic excellence, hold a relevant degree, and have proven technical capabilities.
  • You will need a strong foundation in Python and current ML frameworks and notable experience in several of the following areas:
  • Familiarity with popular ML libraries and frameworks like TensorFlow, PyTorch, Keras and scikit-learn,
  • Experience with neural network architectures, deep learning techniques, and building and training deep learning models,
  • Creating and handling large datasets including pre-processing steps and familiarity with data manipulation libraries like Pandas, NumPy, and data visualization tools such as Matplotlib or Seaborn,
  • Hands-on experience of building ML solutions for resource-constrained situations and deploying to edge-processing platforms,
  • Experience with emerging technologies such as GANs, LLMs, RL or XAI.
  • Speak fluent German

 

In this role you will

  • Use your expertise in machine learning, software engineering and genomics to deliver AI/ML-powered services and libraries
  • Work closely with subject matter experts in human genetics to conceive, plan and execute novel AI/ML solutions to key drug discovery problems
  • Leverage the expertise of more senior team mates to continuously develop understanding of scientific, machine learning and software engineering best practice in the organisation, to construct robust, tested, production-grade software products with well-characterised performance and limitations
  • Fully participate in the scientific and engineering culture of the Sequence Learning Team, as a code reviewer and collaborator
  • Continuously develop expertise in a fast-moving and intellectually challenging (but highly rewarding!) scientific space
  • Exhibit excellent self-management and communication skills, taking full ownership and working transparently to deliver objectives to specification and on time

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Steven Waterson

Steven Waterson

Specialisms: AI & Machine Learning, AI Research, NLP, Machine Learning, Computer Vision, Generative AI, AI Engineering
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