Artificial Engineering/Machine Learning Engineer
Information Technology company
Information Technology company
W-2 onlyContract2204 views
Mason, OH 45040
Contract
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Our client is looking for a highly energetic, technical, and collaborative AI/Machine Learning lead who enjoys solving problems. This individual should be hands-on and should have created multiple models from scratch.
Required Skills/Experience:
- Strong Machine Learning experience, some of which is within established technical organizations with production systems.
- Deep understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
- Experience in at least one of these toolkits: Python, R, Weka, SciKit-learn, MATLAB
- Familiarity with machine learning frameworks/libraries/packages/APIs (e.g., Theano, Spark MLlib, H2O, TensorFlow, PyTorch, etc.)
- Experience Building Models, and training a deep Neural Net
- Experience with Convolutional Neural Networks (CNN)
- Experience with applied statistics skills, such as distributions, statistical testing, and regression
- Experience in analyzing complex problems and translating it into an analytical approach
- Good in translating modelling and analytical output into understandable and actionable business knowledge
- Experience with widely used probability methods (conditional probability, Bayes rule, likelihood, independence, etc.)
- Experience with time series analysis
- Experience with data visualization techniques and tools (e.g., D3JS, ggPlot2)
- Good software engineering background (OOP, data structures, algorithms, computability, and complexity)
- Excellent conversation and communication skills – able to present on research and tools
- Masters in a relevant quantitative field, such as statistics, operations research, or computer science, depending on position level (master's preferred)
- Passionate, Innovative, and Motivated
Desired Skills/Experience:
- Proven understanding of multivariable calculus and linear algebra
- Experience dealing with massive data sets, using big data tools (Hadoop HDFS, MapReduce, Accumulo, Presto, MongoDB, Cassandra, HBase, R, Mahout, Pig, and Hive, DC/OS)
- Hands-on experience and expertise with cloud computing services (AWS, Azure, etc.)
- Proven experience in ETL, data processing, transformation, cleaning, and data warehousing techniques
- Health care experience
Skills
Skill | Proficiency | Years Experience | Percent Used |
---|---|---|---|
Big Data | 3 - 6 | 100% | |
ETL | Any | 100% | |
Machine Learning | Any | 100% | |
AWS | Any | 75% | |
Cassandra | Any | 75% | |
Hbase | Any | 75% | |
MapReduce | Any | 75% | |
MongoDB | Any | 75% | |
MS Azure | Any | 75% | |
Pig | Any | 75% | |
Spark | Any | 75% | |
Hive | Any | 50% | |
API Development | Any | 25% | |
Data Cleansing | Any | 25% | |
Data Visualization | Any | 25% | |
Data Warehousing | Any | 25% | |
Hadoop | Any | 25% | |
HDFS | Any | 25% | |
Mahout | Any | 25% | |
Matlab | Any | 25% | |
Python | Any | 25% |