【ML | DS】Positions recently
https://www.linkedin.com/jobs/view/3185925538
Hands-on experience with SQL and Python
Experience with Machine Learning libraries such as Pyspark, Pandas, or Numpty
Knowledge of machine learning techniques such as SVMs, logistic regression, deep neural networks, cross-validation, Naive Bayes, feature extraction, and a solid background in statistics
https://www.linkedin.com/jobs/view/3271023852
Data manipulation and analysis
Knowledge of languages such as R (Python would be an advantage)
Good understanding of data flows
Preferably 1-2 years of practical experience (full-time or part-time)
Highly structured and best-practice programming knowledge
Good verbal and written English and Danish skills (Danish would be an advantage)
Nice-to-Have:
Experience working in a Scrum environment
Machine Learning projects (classification, regression, NLP)
https://www.linkedin.com/jobs/view/3258002299
Strong experience with designing, building, deploying, and maintaining scalable systems
Experience in technical architecture
Experience with Machine learning concepts in real-world environments
Advanced knowledge of Python, SQL, and Data Science tools such as Pandas, scikit-learn, etc
Skilled with GCP - If not a strong experience in Azure/AWS will be considered
https://www.linkedin.com/jobs/view/3258002299
Experience with programming in Python, C, or C++ as well as familiarity with machine learning tools such as TensorFlow, Pytorch, or Keras.
Familiarity with deep-learning models. Familiarity with more recent techniques and approaches within deep-generative models, self-supervised learning and reinforcement will be an advantage.
A solid understanding of mathematical fundamentals such as probability theory and linear algebra.
Ideally, knowledge of collaborative approcahes towards achieving production-ready systems (MLOps).
Knowledge of state-of-the-art principles and theories.
Great professionalism and an eye for quality, but at the same time, you know your own boundaries when it comes to workload and learning curve.
The desire to be part of a great team and social environment.
Strong English language communication and writing skills.
https://www.linkedin.com/jobs/view/3199841529
You have a strong background in machine learning, theory, and practice.
You are comfortable explaining the intuition and assumptions behind ML concepts.
You have hands-on experience implementing and maintaining high-scale, production ML systems in Python, Scala, or similar languages. Experience with TensorFlow is also a plus.
You are experienced with building data pipelines, and you are self-sufficient in getting the data you need to build and evaluate your models, using tools like Apache Beam, Spark, or other distributed data processing frameworks.
You preferably have experience with and cloud platforms like GCP or AWS.
You care about agile software processes, data development, reliability, and focused experimentation.
You love your customers even more than your code.
https://www.linkedin.com/jobs/view/3258359752
https://www.linkedin.com/jobs/view/3264708800
You are knowledgeable and driven about software engineering. We use languages such as Python, Java, Scala and SQL combined with various cloud solutions. Although you might not have a background in our field, bringing knowledge and experience from other fields is merited.
You have experience working with high volume heterogeneous data, preferably with data processing frameworks like Apache Beam, Apache Spark, Apache Flink.
You care deeply about agile software processes, reliability, and responsible experimentation as well as being a strong advocate for engineering best practices such as continuous integration and delivery.
You have a proven understanding of data modeling, data access, and data storage, caching, replication, and optimization techniques.
You understand the value of collaboration within teams. You are comfortable with asynchronous communication, being able to work independently while always sharing context with your team members.
You love your customers even more than your code
Experience with backend engineering is a plus.
Experience working with Machine Learning is a plus.
https://www.linkedin.com/jobs/view/3259802798
Experience with Azure SaaS technologies such as IoTHub/IoTEdge, Event Hub, Digital Twin, Databricks, Data Lake, Functions, and Blob storage
Experience in real-time processing using Azure Event hubs, Databricks, Kafka, or Spark
Experience in Power BI or Grafana, and creating mart layers for the individual user-facing application
Experience with Linux
Understanding of site-reliability engineering practices
Knowledge of information architecture
https://www.linkedin.com/jobs/view/3234937390
Some Engineering experience and or project course work using large data systems on SQL, Hadoop, Azure etc.
Proficiency in using one or more programming or scripting languages to work with data such as: Python or C#.
Experience or course work applying basic Machine Learning to a type of data and or used algorithms to conduct experiments on data.
Some experience and or project course work performing data analysis and applying statistics working with similar tools such as: Excel, MATLAB, AMPL, or SAS.
Some experience and or project course work with product and service telemetry systems and data manipulation experience: data quality, testing your pipelines, incomplete data.
Some A/B Testing or experimentation (this can be from conducting real-life science experiments, experiment design, hypothesis testing in stats, etc.) is preferred.
https://www.linkedin.com/jobs/view/3260042092
M.Sc. degree in biomedical engineering, electrical engineering, computer science, or similar,
Experience in programming, at least in Matlab, while the knowledge of C++ and/or Python is an advantage
The knowledge of machine learning, computer vision, human-machine interfacing, and the design of experiments is an advantage.
A creative mindset and curiosity to research and develop new solutions in an international environment with highly skilled colleagues.
Good communication and excellent organizational skills.
