Apply to Software Engineer
Task Order Required Skills:
- Experience with Java, Scala, and Python
- Experience with Lucene, JEXL, SQL, JSON
- Random Forest and ability to do feature development for Random Forest
- Experience with Machine Learning Model building and monitoring
- Experience developing in a Linux operating environment
- Experience with Ghostmachine (Map/Reduce)
- Experience with GM Learn
- Experience with Jupyter Notebooks
- Experience with IntelliJ and/or Eclipse
- Experience with Git/Gitlab and/or Stash/Bitbucket
- Experience with Jira
- Experience with Confluence
- Experience with Scikit-learn
- Agency Compliance standards, policies, and authorities
- Experience with Agency corporate systems
- Experience with documentation and reviewing documentation
- Data Science skills/background
- Experience with AWS
- Experience implementing ML systems
- Experience with Spark
- Exploratory Data Analysis (EDA)
- Agentic AI
- Large Language Models (LLM)
- Machine Learning Feature Development
- Other Machine Learning models and techniques
Optimus Technology is a SDVO (Service-Disabled Veteran-Owned) small business founded in 2010. We are known for our exceptionally talented group of Engineers and Technical experts with superior knowledge and experience in Cyber Technologies and the latest technology trends. Our dedication in pairing the right Optimus Technologist with the right customer solution is at the core of our Partnership commitment and critical to the performance and satisfaction of our employees, the pinnacle of the Optimus culture.
Why us?
We strive to provide the best well-rounded benefits package available.
- Premium health, dental, and vision package
- Company funded HRA
- 401k company contributions
- Employer paid group term life insurance policy
- Tuition assistance and career development
- Short-term and long-term disability
- Paid time off
- Referral bonuses
- Company outings, giveaways & more
Optimus practices a policy of non-discrimination and is fully committed to the principles of equality in employment and opportunity for all employees. Employment decisions are made without regard to age, gender, race, religion, marital status, national origin, sexual orientation, or any other non-merit based factor.