• Us Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 21st Sep 2021

· 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

· 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