Senior Data Scientist [J119]

SKM gGmbH
12 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
€ 120K

Job location

Remote

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Artificial Neural Networks
Azure
Cloud Computing
Python
Machine Learning
TensorFlow
DataOps
SciPy
Systems Integration
Reinforcement Learning
PyTorch
Deep Learning
Scikit Learn
Information Technology
Machine Learning Operations
Markov

Job description

The majority of the resources would be supporting the development of assets (e.g., plugins) to further drive our overall AI strategy across the firm. In addition to that, we have ongoing AI R&D initiatives that we'd look to leverage some of these roles to help us continue driving the initiatives., * Development and training of transformer-based models for both text and images.

  • Architect and oversee the entire model lifecycle, from data preparation, model design, training, development and validation to model deployment and monitoring.
  • Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to design and implement AI-driven solutions.
  • Stay current with the latest advancements in AI and machine learning, integrating new techniques and technologies as appropriate.

Requirements

Do you have a Master's degree?, * Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

  • Strong expertise with large scale Neural Networks, Deep Learning and Reinforcement Learning techniques.
  • Experience with Probabilistic Graphical Modelling (Bayesian Networks, Markov Random Fields, Factor Graphs, ...)
  • Advanced knowledge of Python and machine learning frameworks (SciPy, Scikit-learn, TensorFlow, PyTorch, pyMC, pgmpy, ...)
  • Hands-on experience with one or more cloud computing platforms (Azure - preferred, AWS, GCP).
  • Understanding of the whole ML lifecycle and experience with MLOps/DataOps.
  • Experience with Probabilistic Graphical Modelling (Bayesian Networks, Markov Random Fields, Factor Graphs, ...)
  • Excellent problem-solving skills and ability to work independently in a fast-paced environment
  • Strong communication skills and ability to collaborate effectively with team members and external partners, fluent English, * Data Science: 3 years (required)

Benefits & conditions

  • Attractive salary
  • Large freedom and real influence
  • No unhealthy competition, team approach to meeting challenges
  • Remote work model
  • Company apartments in cool cities across Europe: work and enjoy a memorable getaway

We are a software house with a 18-year history, a rich portfolio, projects all over the world and an appetite for more. We have built our brand on professionalism and flexibility in delivering software solutions. We are not afraid of unconventional ideas and value innovation and imaginative change.

Job Type: Full-time

Pay: 54.000,00€ - 120.000,00€ per year

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