Machine Learning Engineer
Machine Learning Engineer
Steneral Consulting
United States
See who Steneral Consulting has hired for this role
Objectives of this role
- Design and develop machine learning algorithms and deep learning applications and systems for devices team.
- Solve complex problems with multilayered data sets and optimize existing machine learning libraries and frameworks.
- Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production IoT system data and applications.
- Identify differences in data distribution that could potentially affect model performance in real-world applications.
- Ensure algorithms generate accurate user recommendations.
- Stay up to date with developments in the machine learning industry.
- Study and transform data science prototypes and apply appropriate machine learning algorithms and tools.
- Run machine learning tests and experiments, and document findings and results.
- Train, retrain, and monitor machine learning systems and models as needed.
- Construct optimized data pipelines to feed machine learning models.
- Consult with managers to determine and refine machine learning objectives.
- Extend existing machine learning libraries and frameworks.
- Analytical and problem-solving skills
- Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms
- Azure delta lake
- In-depth knowledge of machine learning frameworks, like Keras, Theano, scikit-learn or PyTorch
- Knowledge of Python, Java, and R programming languages desired.
- Familiarity with data structures, data modeling, and software architecture
- Excellent time management and organizational skills
- Familiarity with PowerBI reporting or any equivalent analytics application.
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Seniority level
Mid-Senior level -
Employment type
Contract -
Job function
Engineering and Information Technology -
Industries
Software Development
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