Machine Learning Engineer
Thanks for your interest in the Machine Learning Engineer position.
Unfortunately this position has been closed but you can search our 933 open jobs by clicking here.
Responsibilities
- Study and transform data science prototypes
- Design machine learning systems
- Research and implement appropriate ML algorithms and tools
- Develop machine learning applications according to requirements
- Select appropriate data sets and data representation methods
- Run machine learning tests and experiments
- Perform statistical analysis and fine-tuning (hyper parameters tuning) using test results
- Train and retrain systems when necessary
- Extend existing ML libraries and frameworks
- Keep abreast of developments in the field
Requirements
- Proven experience as a Machine Learning Engineer or similar role
- Experience with Cloud deployments (AWS or other) and machine learning tools (SageMaker)
- Building ML models feature engineering and current big data and relational data stores
- Expanding Machine learning practices to refine enterprise application
- AWS, Jenkins, git / gitflow, and development tools (memory / debugging, static code analysis, testing frameworks)
- Experience with common machine learning libraries (e.g., scikit-learn, scipy, numpy, matplotlib, pandas etc)
- Understanding of data structures, data modeling and software architecture
- Deep knowledge of math, probability, statistics and algorithms
- Ability to write robust code in Python, R, and (or Java, H20)
- Familiarity with machine learning frameworks (like Tensorflow or Keras or PyTorch) and libraries (like scikit-learn)
- Knowledge of software design patterns.
- Documenting solutions by developing high-level design, technical documentation, and clear code comments.
- Excellent communication skills
- Outstanding analytical and problem-solving skills
- BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus