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