Senior Platform Engineer - EO/SAR Model Manager (TSSCI)

As a Senior Platform Engineer - EO/SAR Model Manager at VivSoft, your key responsibilities will include collaborating with various divisions like Product/Engagement and Platform Engineering to validate customer requirements, assisting in the development and management of overall program scope and deliverables, and serving as a technical advisor for AI model development. You'll bridge the gap between stakeholders and ensure feedback is seamlessly integrated into our AI processes.

Candidates for the Senior Platform Engineer - EO/SAR Model Manager role at VivSoft must hold a Bachelor’s Degree in Engineering, Computer Science, or a related discipline. Additionally, a TSSCI clearance is mandatory. Broad knowledge of AI model development processes and strong communication skills are essential for success in this role, along with the ability to manage teams and work efficiently in a fast-paced environment.

Desired skills for the Senior Platform Engineer - EO/SAR Model Manager position at VivSoft include the ability to manage diverse teams, exceptional communication skills, and a background in regulated software quality and risk management. Experience with SaaS tools for data modeling and a working knowledge of compliance-based environments are also advantageous to succeed in this role.

A typical day for a Senior Platform Engineer - EO/SAR Model Manager at VivSoft involves collaborating with various teams to discuss project requirements, engaging stakeholders for feedback, and managing timelines for the development and deployment of AI models. You'll also be heavily involved in troubleshooting and refining product features based on real-time data and analytics to meet high-quality standards.

VivSoft is dedicated to employee growth and offers numerous opportunities for professional development through training programs, workshops, and collaborative projects. As a Senior Platform Engineer - EO/SAR Model Manager, you'll be encouraged to expand your technical expertise and leadership abilities while contributing to innovative projects in the ever-evolving fields of AI and software development.

When discussing your experience with AI model development, emphasize specific projects you've worked on that involved building, training, or deploying AI models. Highlight your role in these projects, any technical tools you utilized, and how you overcame challenges to achieve success. It's important to show a clear understanding of the lifecycle of AI model development.

To ensure effective communication across diverse teams, I implement regular check-ins and progress updates to keep everyone aligned. I also encourage an open dialogue where team members feel comfortable sharing their insights and challenges. This approach builds trust and promotes collaboration, which is crucial for successful project execution as a Senior Platform Engineer.

In a fast-paced environment, I prioritize tasks based on urgency and impact. Using project management tools helps me track progress and deadlines. I also communicate openly with my team to adjust priorities as needed, ensuring that critical tasks receive the attention they require while maintaining overall project progress.

In a previous role, integrating customer feedback was essential after the initial deployment of an AI model. I organized feedback sessions with stakeholders to gather insights and concerns, which I then articulated to my development team. We quickly iterated on the model to address issues, turning customer feedback into enhancements that streamlined operations and improved satisfaction.

In software development, I prioritize compliance and security by adhering to established guidelines like NIST frameworks. I routinely conduct security assessments at every phase of the development lifecycle and ensure all team members are trained on best practices. This proactive approach not only minimizes risks but also builds trust with stakeholders concerning our commitment to secure software.

I use various data modeling tools such as Python libraries and R for statistical analysis alongside visualization tools like Tableau. These tools empower me to extract meaningful insights from data and support informed decision-making in my AI model development projects.

Ensuring the quality of deployed software involves a rigorous testing and validation process. I implement automated testing tools to catch issues early in development, along with comprehensive code reviews. Post-deployment, I monitor software performance and user feedback to identify areas for improvement continuously.

In a collaborative military environment, I was part of a cross-functional team that focused on integrating AI technologies for operational applications. I regularly coordinated with military personnel to ensure our technical solutions aligned with their strategic goals, fostering a solid partnership that enhanced operational effectiveness.

I generally prefer Agile methodologies for project management, as they promote flexibility and collaboration among teams. This approach allows for iterative development, regular feedback, and the ability to pivot based on evolving project needs, which is especially beneficial in the rapidly changing tech landscape.

As a Senior Platform Engineer, I’m motivated by solving complex problems and driving innovation within my team. The opportunity to work with cutting-edge technology and collaborate with talented colleagues to make meaningful contributions to the federal sector energizes me and inspires my continued growth in the field.