Software Engineer

IMDiversity

Columbia (SC)

On-site

USD 85,000 - 115,000

Full time

14 days+

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Job summary

IMDiversity in Columbia, South Carolina is seeking a candidate for a software engineering position specializing in artificial intelligence and big data. The role involves extensive software development, technical training, and utilizing a variety of programming languages and tools.

Applicants should have a Master's degree in engineering or a related field, or a Bachelor's degree with two years of relevant experience. Knowledge of big data technologies, machine learning tools, and cloud platforms is preferred.

Qualifications

  • Master’s degree in engineering or engineering related field required.
  • Bachelor’s degree plus 2 years related experience acceptable.
  • Experience in full stack engineering and big data preferred.

Responsibilities

  • Participate in the full cycle of software engineering duties.
  • Engage in technical training and tutorials.
  • Develop and implement new or modified software.

Skills

Java
JavaScript
Python
Web App Frameworks
Hadoop
Machine Learning
Deep Learning
Linux
Docker

Education

Master’s degree in engineering
Bachelor’s degree in engineering + 2 years experience

Tools

TensorFlow
PyTorch
Kubernetes

Job description

Job Summary

The successful candidate will be responsible for participating in a full cycle of software engineering duties in the areas of artificial intelligence and big data. These duties include oral and written communication tools and techniques; technical training and tutorials, software development principles and methods for design, development, testing and implementation of new or modified software; commonly used languages, methods, algorithms and practices; software validation and distribution tools; and technical writing and documentation practices.

Minimum Qualifications

Master’s degree in engineering or engineering related field, or bachelor’s degree in engineering or engineering related field and 2 years related experience.

Preferred Qualifications

Experience with big data and scalable platforms, social media analysis, and deep learning of images. Demonstrated experience in full stack engineering and development of functionally rich tools.

Technical Knowledge, Skills, and Abilities

Programming: Java, JavaScript, Python, Web App Frameworks (e.g., Django). Databases/Search: relational data stores, NoSQL and RDF data stores, SQL and SPARQL, Lucene and Elasticsearch.

Big Data, Cloud Computing and Virtualization Platforms: Hadoop/MapReduce, Apache Storm, Kafka, Redis, Virtualization solutions such as OpenStack/EC2.

Machine Learning/Deep Learning tools: at least one of TensorFlow, PyTorch, Keras. Other Technologies/DevOps: Linux environment (esp. clusters), shell scripting, Version control using GitHub, Backbone/Marionette JS, Ansible, Docker, Vagrant, Kubernetes.

Position Attributes

Hazardous weather category: Non‑Essential. Safety Sensitive or Security Sensitive: No.

EEO Statement

The University of South Carolina does not discriminate in educational or employment opportunities on the basis of race, sex, gender, age, color, religion, national origin, disability, sexual orientation, genetics, veteran status, pregnancy, childbirth or related medical conditions.

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