Posts Tagged “R”

SparkR Developer in Atlanta, Georgia (Full Time)

Please share resume to anu@enormousenterprise.com

Role: SparkR Developer

Location: Atlanta, Georgia

Mandatory Technical / Functional Skills:

5-7 years experience in R Development
Experience in time sereis analysis
Working knowledge of R, SparkR, Prediction algorithms
Development experience in Sprak Cluster based architecture using Spring Spark R
Knowledge of SQL Server

Roles and responsibility:

  • Have a clear understanding of functional / technical requirements
    • Prepare Service specifications, Class Diagrams, Sequence Diagram
    • Development of technical components
    • Should have a very good understanding of the project architecture
    • Adhere to the project’s defined implementation / deployment model
    • Adhere to project specific design pattern, guidelines and checklist
    • Use project’s best practices and coding standards
    • Help remove the technical impediments
    • Review and provide feedback on code produced by team

Desirable Technical / Functional Skills:

  • Knowledge of integration Architecture & Design Patterns
    • Knowledge of time sereis algorithm holt winters

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Data Scientist Full Time Position

interested candidates can share their resume to sridhar@enormousenterprise,com

Position: Data Scientist or Machine Learning Engineer

Location:  Sunnyvale, CA

Job Type: Full Time

JOB DESCRIPTION:

Responsibility:

  • Responsible for one or more ML related application areas: Natural Language Understanding, Dialog System, Statistical NLP, Contextual Understanding, Probabilistic Inferencing/Reasoning, Reinforcement learning, Product Recommendation
  • Develops and demonstrates viability of novel solution in the context of Linc’s platform and data to deliver business results as well as best of breed user experience.
  • Be a part of an engineering team with total responsibility of both algorithms, modeling, engineering and production scaling and support – full soup to nuts ownership and empowerment

Key Qualifications:

  • PhD program in Computer Science, Mathematics or a related field with demonstrated academic excellence
  • Academic background in deep learning, natural language processing, machine learning
  • 5+ years of programming experience, proficiency in Python, JAVA, Scala or R
  • Strong knowledge in general software design, data structures, and relational database
  • Strong written and oral communication skills
  • Strong analytical skills, data driven mindse

Desired:

  • Huge plus with experience in spoken dialog system, chatbot and reinforcement learning
  • 2+ years of hands-on cloud platform experience: AWS or Azure
  • Previous experience working in a start-up environment
  • Experience with Ecommerce space, knowledge of product taxonomy building
  • Experience with NLP toolkits such as NLTK, OpenNLP, Stanford CoreNLP etc.
  • Experience with open source machine learning toolkits: tensorflow, CNTK, scikit-learn, pandas, numpy, libsvm, keras

Perks

  • We will sponsor Visas
  • Full medical and dental coverage
  • Company provided lunches and close to downtown Sunnyvale
  • Knowledge sharing sessions with some of Silicon Valley’s best mind

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Data Scientist in Madison, WI (Full Time)

Please send resumes to anu@enormousenterprise.com

Role – Data Scientist

Location – Madison, WI

Note: Bachelor from stat and Math would be preferable.  

Job Description:

  • At least 12+ years of work experience
  • Strong background in statistical concepts and calculations
  • Use machine learning, data mining, predictive modelling, and statistical techniques to create new scalable models for business requirement.
  • Need to have good understanding & working knowledge in Natural Language Processing & Conceptual modelling
  • Strong Proficiency in statistical analysis tools (R, Python and SAS)
  • Extensive experience solving analytical problems using quantitative approaches (e.g. Bayesian Analysis, Reduced Dimensional Data Representations, and Multi-scale Feature Identification).
  • Research and implement data mining machine learning algorithms in supervised and unsupervised learning areas, including deep learning techniques
  • Awareness or experience with using big data tools (Hadoop, Spark, Hive)
  • Knowledge of data collection using query languages like SQL

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Data Scientist/Technical Architect in Chicago, IL (Full Time)

Please send resumes to anu@enormousenterprise.com

Role – Data Scientist/Technical Architect

Location – Chicago, IL

Job Description: 

  • At least 12+ years of work experience
  • Strong background in statistical concepts and calculations
  • Use machine learning, data mining, predictive modelling, and statistical techniques to create new scalable models for business requirement.
  • Need to have good understanding & working knowledge in Natural Language Processing & Conceptual modelling
  • Strong Proficiency in statistical analysis tools (R, Python and SAS)
  • Extensive experience solving analytical problems using quantitative approaches (e.g. Bayesian Analysis, Reduced Dimensional Data Representations, and Multi-scale Feature Identification).
  • Research and implement data mining machine learning algorithms in supervised and unsupervised learning areas, including deep learning techniques
  • Awareness or experience with using big data tools (Hadoop, Spark, Hive)
  • Knowledge of data collection using query languages like SQL

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SPARK DEVELOPER

Please send resume to jmathew@enormousenterprise.com

SPARK DEVELOPER – 596876

Location: Madison, WI

 

Experience in Hadoop, Spark, HBase, Hive, Pig, R,

Must have solid sills in Java, C++, Python, Scala, Unix script development, modeling NoSql data storesand has a good understanding of working with Spark or Hadoop MapReduce type programming.

Experience in areas of optimizing management of and deriving insights from non-structured non-relational data, and provide business value from content through improved information management is key.

Experience in analyzing text, streams, documents, social media, big data, speech with emerging Hadoop-based big data, NoSQL, Natural Language Processing, Search and Text analytics technologies and techniques. Apply big data technologies such as Hadoop, Spark or Streams with NoSQL data management and related programming languages for analytics and experimentation with large, multi-structured data sets.

Appropriate skills include:

*Experience with Hadoop and Spark

*Experience with Linux RedHat

*Experience with higher level programing languages like Java, Sacala, and Python

*Knowledge of BigInsights Administration

*System Integration

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Machine Learning – Big Data Architect

Please send resume to jmathew@enormousenterprise.com

Title: Machine Learning – Big Data Architect

Location: Chicago, IL

Position: 1

•At least 12+ years of work experience

•Strong background in statistical concepts and calculations.

•Use machine learning, data mining, predictive modelling & statistical techniques to create new scalable models for business requirement.

•Need to have good understanding & working knowledge in Natural Language Processing & Conceptual modelling,

•Strong Proficiency in statistical analysis tools ( R, Python and SAS)

•Extensive experience solving analytical problems using quantitative approaches (e.g. Bayesian Analysis, Reduced Dimensional Data Representations, and Multi-scale Feature Identification).

•Research and implement data mining machine learning algorithms in supervised and unsupervised learning areas

•Awareness or Experience with big data tools (Hadoop, HDFS & Spark)

 

 

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Full Time Position: Machine Learning – Big Data Architect in Chicago, IL

Our client is Looking for Machine Learning – Big Data Architect in Chicago, IL

If you are available and interested for this position please share your resume with expected salary to jmathew@enormousenterprise.com

Location: Chicago, IL

Position: 1

•At least 12+ years of work experience

•Strong background in statistical concepts and calculations.

•Use machine learning, data mining, predictive modelling & statistical techniques to create new scalable models for business requirement.

•Need to have good understanding & working knowledge in Natural Language Processing & Conceptual modelling,

•Strong Proficiency in statistical analysis tools ( R, Python and SAS)

•Extensive experience solving analytical problems using quantitative approaches (e.g. Bayesian Analysis, Reduced Dimensional Data Representations, and Multi-scale Feature Identification).

•Research and implement data mining machine learning algorithms in supervised and unsupervised learning areas

•Awareness or Experience with big data tools (Hadoop, HDFS & Spark)

Read more »