Title: Machine Learning Operations and Analytics Developer
Duration: 6 months Contract to Hire Location: San Antonio, TX Hours: 8-5
Target Pay Rate: $60
Work Authorization: USC OR GC
Interview Process: Resume Reviewed follow by phone interview followed by an onsite/skype interview
Number of Openings: 1
Relocation Assistance: No
Eligible to Enroll in Apex Benefits during the contract period
Hours worked = Hours paid during contract period
Participates in the evaluation, development, implementation, integration and administration of internal and external business solutions for machine learning and analytic workflows. Independently plans, installs, integrates, and validates systems software and hardware solutions.
Applies advanced techniques to integrate traditional and non-traditional datasets for analytical solutions.
Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications. Builds analytical solutions leveraging internal and external applications to deliver value and create competitive advantage.
Translates complex technical concepts to non-technical employees. Manages technical change implementation across environments. Acquires and applies broad knowledge of the business, its products, and processes. Serves as a resource to less experienced team members on escalated issues of a routine nature.
Consistently applies learned processes, procedures and workflows to include however not limited to the software and/or hardware environments in one domain.
Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights and develop analytical solutions
Generates new solutions leveraging competent skills and knowledge. Manage and maintain existing solutions.
Solve complex infrastructure and application problems independently.
Considered fully qualified in one domain. May serve as a mentor to junior team members.
May be a subject matter expert in one or more specializations within a domain.
Utilizes troubleshooting techniques to determine problem root cause and apply knowledge of operational needs to determine business impact.
Configures, maintains and monitors systems infrastructure to enhance availability, improve performance, and ensure adequate capacity.
Top Skills/Experience We are looking For:
Python 2 knowledge, Python 3 knowledge a huge plus
Python Network Programming Knowledge
HBase or other NoSQL technology
Cloud-Based Technologies Experience (Azure, Amazon, or Google Cloud Platform
Azure BLOB/Azure Data Lake Storage
3+ Years of Python
2+ Years Spark, Hadoop MapReduce, Storm, or similar platform
2+ Data Transformations
Understanding of Restful application architectures
Understanding of Applied Machine Learning
Understand of Math Models for Machine learning
Perl, Java, or R
ElasticSearch and Kibana
DevOps experience (experience working with infrastructure tools)
Sqoop, Kafka, Flume, Apex, or NiFi
AWS, Azure, or GCP administration
Bachelors degree or equivalent work experience and additional 2+ years relevant cloud computing or machine learning experience. Working knowledge of Hadoop or Spark, systems administration and/or systems programming skills, Linux, and general cloud computing systems.
Python, SQL, Hadoop, Azure, HBase
6 month C2H
Apex Systems, Inc