AI/ML Solution Architect

IBA InfoTech Inc.
San Jose, CA, United States
3 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Mxnet Web Interfaces Java (Programming Language) JavaScript (Programming Language) Artificial Intelligence Amazon Web Services C++ (Programming Language) Cascading Style Sheets (CSS) Cloudera Impala Configuration Management Computer Programming Continuous Integration
+43 more
Extract Transform Load (ETL) R (Programming Language) Apache Hadoop Hadoop Distributed File System HAProxy Monitoring of Systems Apache Hive Python (Programming Language) PostgreSQL MATLAB Machine Learning Nagios Natural Language Processing Nginx NoSQL Pattern Recognition Recommender Systems Ansible Tensorflow Mesos Azure Machine Learning SAS (Software) Scala (Programming Language) Software Engineering Web Platforms Apache Yarn Apache Spark Deep Learning Containerization Uipath Kubernetes Information Technology Cassandra Sensu Apache Kafka Data Management Puppet Blue Prism Recurrent Neural Networks Atlassian Bamboo Docker Jenkins Programming Languages

Requirements

  • Core Skills for during the Change the Biz phase:
  • Automation products like Blue Prism, Automation Workfusion
  • Automation technologies like RPA, Intelligent Automation
  • AI/ML, Deep Learning Cognitive Computing - Azure Machine Learning/AWS ML/Google ML
  • Apache Spark & SparkML for machine learning
  • Design and deliver PoC/PoV RPA solutions
  • Predictive modeling ranging from R or SAS or Matlab
  • Programming in MxNet, Tensorflow, Caffee frameworks
  • Programming language (R, Python, Java, C/C++)
  • Automation tools - Workfusion/BluePrism/UIPath
  • Machine learning concepts ranging from RNN, CNN’s and LSTM’s
  • Natural Language Processing, classification, pattern recognition, recommendation systems
  • Skills required during Run the Biz:
  • Containerization (Docker)
  • Container orchestration platforms (Kubernetes, Marathon)
  • Web platforms (PostgreSQL, NGINX, HAProxy)
  • Configuration Management Systems (Chef, Puppet, Ansible, etc.)
  • Monitoring systems (Nagios, Sensu, AppD)
  • Continuous integration software, e.g. Jenkins or Bamboo
  • Amazon Web Services / AWS skills
  • Resource managers, e.g. Mesos, Kubernetes, Yarn, etc
  • Distributed messaging systems, e.g. Kafka
  • Big Data tools, e.g. Spark, Hive, HDFS, Scala, Hadoop
  • Understanding, modifying, and writing Python code
  • Web interfaces for internal-facing tools - JavaScript and CSS
  • ETL tools (including No SQL) such Cassandra/Drill/Impala
  • Strong self-motivation for solving problems and innovating with furious intent to improve the customer experience
  • Strong problem solving and software development/troubleshooting skills. Ability to “think in code” and discuss ideas and algorithms is a must.

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Good distractions

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