Senior Software Engineer - AI/ML
100% Remote
Applications have closed
T-Rex Solutions, LLC
As a primary provider of IT government modernization services, we solve our clients' complex challenges by leveraging our technical expertise.The US Census Bureau is undergoing a digital transformation in preparation for the 2030 Decennial Census and seeks to integrate advanced technologies and techniques to enhance and scale up the Decennial System of Systems (SoS). The 2030 Decennial Census program will grow to become one of the largest, most innovative Federal Civilian production environments within AWS GovCloud. T-Rex Solutions LLC seeks a Senior Software Engineer with a strong focus in AI/ML methodologies and significant hands-on experience in Cloud Native development to drive the creation of next-generation, data-driven applications.
Responsibilities:
- Develop and Prototype Advanced Solutions: Lead Cloud Native development initiatives with a strong focus on AI/ML and data science. Design and prototype robust applications that integrate complex data processing methods and functions tailored to enhance the functionality and efficiency of the 2030 Decennial SoS.
- This role is not focused on LLM, ChatGPT or other similar technologies, it instead focuses on and requires linking and matching AI experience. The primary responsibility in the role is not developing algorithms, but integrating algorithms under development by other Census teams.
- Technical Collaboration and Leadership: Work collaboratively with application engineering, DevOps teams, and data scientists to ensure full integration and optimization of AI/ML models and Big Data processing. Provide technical leadership in data analysis, model verification, implementation reviews, and performance enhancement.
- Code Development and Documentation: Take responsibility in maintaining a clean, efficient, version controlled code base. Ensure thorough documentation of development processes, release notes, and data sets for future reference and policy compliance.
- Innovation: Engage in brainstorming sessions and propose innovative solutions and approaches that take full advantage of AWS cloud-native services and technologies to meet the evolving needs of the US Census Bureau.
Requirements:
- Education and Experience: Bachelor’s Degree in Computer Science, Engineering, or a related field, complemented by at least 8 years of hands-on development experience, preferably in government-related projects or other high-stakes, public-facing environments.
- Technical Expertise: Proven mastery in Cloud-Native development, with a strong focus on Python and PySpark, AWS SageMaker, and a solid track record of developing, deploying, and managing sophisticated cloud-native solutions. C# and other similar development skills are also critical.
- Advanced Data Handling: Proven capability in data engineering or data science, with practical experience using AWS SageMaker and other industry-standard data analytics tools.
- Security and Citizenship: US Citizenship is required with the ability to pass a Department of Commerce Public Trust investigation.
Desired Skills:
- Industry Experience: Experience with US Census Bureau and AWS technologies highly desirable.
- Professional Strengths: Strong analytical and problem-solving skills, excellent communication abilities, and a proven record of leading data-centric development projects from start to finish.
T-Rex Overview
Established in 1999, T-Rex Solutions, LLC is a proven mid-tier business providing data-centric mission services to the Federal government as it increasingly tries to secure and leverage the power of data. We design, integrate, secure, and deploy advanced technical solutions for our customers so they can efficiently fulfill their critical objectives. T-Rex offers both IT and professional services to numerous Federal agencies and is a leader in providing high quality and innovative solutions in the areas of Cloud and Infrastructure Services, Cyber Security, and Big Data Engineering.
T-Rex is constantly seeking qualified people to join our growing team. We have built a broad client base through our devotion to delivering quality products and customer service, and to do that we need quality individuals. But more than that, we at T-Rex are committed to creating a culture that supports the development of every employee's personal and professional lives. T-Rex has made a commitment to maintain the status of an industry leader in compensation packages and benefits which includes competitive salaries, performance bonuses, training and educational reimbursement, Transamerica 401(k) and Cigna healthcare benefits.
T-Rex is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors.
In compliance with pay transparency guidelines, the annual base salary range for this position is $165,000 - $210,000. Please note that the salary information is a general guideline only. T-Rex considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s work experience, education/training, key skills, internal peer equity, as well as market and business considerations when extending an offer.
T-Rex offers a diverse and collaborative work environment, exciting opportunities for professional growth, and generous benefits, including: PTO available to use immediately upon joining (prorated based on start date), paid parental leave, individual and family health, vision, and dental benefits, annual budget for training, professional development and tuition reimbursement, and a 401(k) plan with company match fully vested after 60 days of employment among other benefits.
Tags: AWS Big Data ChatGPT Computer Science Data analysis Data Analytics DevOps Engineering GPT LLMs Machine Learning ML models PySpark Python SageMaker Security
Perks/benefits: 401(k) matching Career development Competitive pay Equity / stock options Health care Medical leave Parental leave Salary bonus Startup environment Transparency
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