AI/ML Solution Architect
IBA InfoTech Inc.
San Jose, United States of America
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
San Jose, United States of America
Tech stack
Mxnet
Web Interfaces
Java
JavaScript
Artificial Intelligence
Amazon Web Services (AWS)
C++
CSS
Cloudera Impala
Configuration Management
Computer Programming
Continuous Integration
ETL
R
Hadoop
Hadoop Distributed File System
HAProxy
Monitoring of Systems
Hive
Python
PostgreSQL
Matlab
Machine Learning
Nagios
Natural Language Processing
Nginx
NoSQL
Pattern Recognition
Recommender Systems
Ansible
TensorFlow
Mesos
Azure
SAS (Software)
Scala
Software Engineering
Web Platforms
Apache Yarn
Spark
Deep Learning
Containerization
Uipath
Kubernetes
Information Technology
Cassandra
Sensu
Kafka
Data Management
Puppet
Blue Prism
Recurrent Neural Networks
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.