Machine Learning Ml Engineer Apply
Machine Learning (ML) Engineer
Las Vegas, Nevada (Hybrid)
Long term contract
The Machine Learning (ML) Engineer is an expert in developing and implementing machine learning algorithms and models, focusing on solving complex business problems and enhancing technological solutions within the organization.
The candidate must demonstrate substantial background and passion for machine learning, AI, and statistical modeling.
Essential Duties & Responsibilities
Minimum Qualifications
- Bachelor's degree in computer science, engineering, data science, statistics, mathematics, or a related field. Master's degree preferred.
- Must be able to obtain and maintain Nevada Gaming Control Board registration and any other certification or license, as required by law or policy.
- A minimum of 2 years of relevant experience.
- Practical experience in building, evaluating, scaling, and deploying machine learning pipelines with Python, preferably within the Google Cloud Platform and Databricks ecosystem
- Programming skills in Python and fluency in data manipulation (SQL, Spark, Pandas) and machine learning (e.g.: scikit-learn, Keras/Tensorflow, etc.) and optimization (e.g. linear programming) tools.
- Experience with CI/CD pipelines, and Git version control.
- Experience with data visualization to convey ML models behavior and business insights.
- Demonstrated experience in statistical and/or quantitative analysis, forecasting, predictive analytics, multivariate testing, outlier analysis and/or optimization algorithms.
- Expertise in AI/ML model design and development, frameworks, and libraries such as TensorFlow, PyTorch, scikit-learn, Pandas, NumPy, NLTK or spaCy, OpenCV or similar.
- Experience working with large, dynamic data sets and developing code to ingest, cleanse, and evaluate data.
- Solid understanding of Machine Learning fundamentals and ability to translate business requirements into machine learning solutions.
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