Job Description
Insight Global is seeking a MLops Data Engineer with a strong software engineering background to support a mission critical program at NSWC Dahlgren. Working on this program, you will use your expertise and experience in the following areas and activities to deliver solutions and services to our customer:
Build a platform that pulls in all cyber security, vulnerability scans, risks, testing for all Naval ships to a centralized location
Build CI/CD pipelines
Build out automation
Working from requirements specifications to develop or modify software applications
Designing, coding, benchmark testing, debugging, and documenting application features and changes
Reviewing and assessing existing enterprise applications, to support new features, performance improvements, upgrades, and ongoing sustainment
Participating in performance, load, and stress testing, and remediation of issues identified
Participating in security architecture reviews of large enterprise systems
Participating in the development of new systems throughout the entire application lifecycle: requirements analysis & definition, system design, implementation, testing, deployment, and sustainment
Participating in activities that ensure the successful use of these systems including developing documentation, test scripts, and training materials
Working in an agile team environment participating in sprint planning, retrospectives, reviews, and daily standups
Compensation:
$65-75/hour
Exact compensation may vary based on several factors, including skills, experience, and education.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
• DoD Secret or Top Secret Clearance required
• Sec+ Certification or ability to obtain one within 60 days of onboarding
• AI/ML engineering experience that includes designing, developing, and deploying production-scale machine learning systems and infrastructure
• ML systems experience in deploying, monitoring, and maintaining ML models
• Proficiency with development toolsets such as Git version control, automated testing frameworks, CI/CD pipelines, and GitLab
• Data Engineering experience with designing, implementing, supporting, and analyzing enterprise-scale applications that Extract/Transform/Load (ETL systems, data streaming, and distributed data processing technologies or frameworks
• Strong database and infrastructure experience with both SQL and NoSQL databases, cloud platforms (Azure), and containerization technologies
• Experience developing custom visualization solutions for data analysis, monitoring dashboards and reporting interfaces
• Comprehensive knowledge in definition and management of software requirements, design, code, benchmark testing, debugging, software development lifecycle, architecture, and documentation.
• Experience with and proficient with at least one of the following Object-oriented programming (OOP) languages: C#, Java, or Python.
• Experience with ML engineering:
• MLOps and model lifecycle management
• Cloud-native ML platform development
API design and integration for ML services
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.