Machine Learning Engineer
Summary
Remote Machine Learning Engineer designing, implementing, and maintaining ML systems in a collaborative data science environment. Core work involves building statistical/ML models with Python, TensorFlow, scikit-learn, H2O, MLlib, and Apache Spark on large datasets and distributed pipelines.
This is a remote position.
Responsibilities
- You will be responsible for designing, implementing, monitoring and maintaining our machine learning systems
- You will be working in a highly-collaborative environment with other experts in data science and engineering
- Transform business problems into data problems
- Research and build statistical/machine-learning models
- Perform Exploratory Data Analysis and Statistical Analysis; clearly present the results of an analysis to customers and management
Requirements
Must Have Skills:
- Master’s Degree in Computer Science, Mathematics, Statistics or a related quantitative field with a focus on Machine Learning or Deep Learning. Ph.D. preferred
- 3+ years of professional experience as a Machine Learning Engineer/Data Scientist; in a product development setting
- Hands-on experience with software development, including translating ML models into scalable production services
- Good intuitive understanding of machine learning algorithms and practical experience building models with incremental/iterative approach
- Strong in Python
- Experience in implementing machine learning algorithms using APIs/libraries from scikit-learn, H2O, MLlib and TensorFlow
- Hands-on experience with software development, including translating ML models into scalable production services
- Experience in working with large data sets and pipelines, distributed systems for machine learning using frameworks such as Apache Spark
- Excellent verbal and written communication skills
- You take complete ownership of your work and are self-driven