AgileGrid Solutions is a staffing and recruiting company focused on helping businesses find, attract, and hire qualified talent across a range of industries. The company provides recruitment and workforce solutions tailored to the specific hiring needs of employers, from sourcing and screening candidates to supporting the overall hiring process. AgileGrid Solutions works to connect skilled professionals with the right career opportunities while helping organizations build reliable, high-performing teams. With a focus on efficient recruitment, quality talent, and client satisfaction, the company aims to simplify the hiring process and deliver effective staffing solutions.
On-site
Lead the design, development, and deployment of predictive analytics and machine learning solutions, while overseeing data integration, database architecture, and computing environments. Mentor data science team members, communicate insights and recommendations to stakeholders, and drive adoption of emerging technologies and enterprise data science practices.
On-site
Lead the design, development, and deployment of predictive analytics and machine learning models, while overseeing data integration, preparation, databases, and computing environments. Provide technical leadership and mentorship, communicate insights to stakeholders, and collaborate across teams to align solutions with business needs and advance data science capabilities.
On-site
Design, build, and maintain scalable full-stack and AI-enabled applications, including LLM, RAG, and multi-agent solutions, using cloud-native and API-first architectures. Lead technical design and engineering practices, improve CI/CD and DevSecOps automation, resolve complex issues, collaborate across teams, and mentor engineers.
On-site
Design, develop, and maintain scalable full-stack and AI-enabled applications, and architect cloud-native solutions using Azure, Kubernetes, microservices, and event-driven patterns. Lead technical design and engineering standards, improve CI/CD and DevSecOps practices, resolve complex issues, and mentor team members while collaborating across functions to deliver secure and reliable software.
Hybrid
Translate business needs into data science solutions, and design, validate, and deploy machine learning, statistical, and generative AI models. Manage model lifecycles through monitoring, documentation, and issue resolution, while promoting best practices and supporting adoption through planning, testing, training, and knowledge transfer.
Hybrid
Collaborate with business partners to define high-impact analytics and AI projects, then design, validate, and deploy machine learning, statistical, and generative AI solutions. Manage model lifecycles through monitoring, CI/CD, documentation, troubleshooting, and support for adoption across teams.
On-site
Lead the design, development, and deployment of predictive analytics and machine learning solutions, while overseeing data integration, specialized databases, and computing environments. Mentor data science team members, communicate actionable insights to stakeholders, and collaborate across teams to advance enterprise data science capabilities.