Summary
We are looking for a Machine Learning Engineer in Tampere, Finland to help us create artificial intelligence products and enhance our data platforms.
Machine Learning Engineer's responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering, we’d like to meet you.
Responsibilities
1. Study and transform data science prototypes
2. Design machine learning systems
3. Research and implement appropriate ML algorithms and tools
4. Develop machine learning applications according to requirements
5. Select appropriate datasets and data representation methods
6. Run machine learning tests and experiments
6. Run machine learning tests and experiments
7. Perform statistical analysis and fine-tuning using test results
8. Train and retrain systems when necessary
9. Extend existing ML libraries and frameworks
10. Keep abreast of developments in the field
Deep knowledge of maths, probability, statistics, and algorithms
Natural Language Processing (Modern NLP tools such as spaCy, CoreNLP, NLTK)
Experience in developing e.g. sentiment analysis, named entity recognition, information extraction.
Computer Vision
Experience in developing e.g. face detection, object identification.
Ability to write robust code in Python
Familiarity with machine learning frameworks (like Tensorflow, Keras or PyTorch) and libraries (like sci-kit-learn)
Excellent communication skills
Ability to work in a team
Outstanding analytical and problem-solving skills
Master's degree in Computer Science, Mathematics or similar field
Good English skills; knowledge of other languages is an advantage
Requirements
Proven experience as a Machine Learning Engineer or similar role
Understanding of data structures, data modeling, and software architectureDeep knowledge of maths, probability, statistics, and algorithms
Natural Language Processing (Modern NLP tools such as spaCy, CoreNLP, NLTK)
Experience in developing e.g. sentiment analysis, named entity recognition, information extraction.
Computer Vision
Experience in developing e.g. face detection, object identification.
Ability to write robust code in Python
Familiarity with machine learning frameworks (like Tensorflow, Keras or PyTorch) and libraries (like sci-kit-learn)
Excellent communication skills
Ability to work in a team
Outstanding analytical and problem-solving skills
Master's degree in Computer Science, Mathematics or similar field
Good English skills; knowledge of other languages is an advantage
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