AI/ML Engineer

Careers at Disruptive Tech Solutions Join a team that is driving innovation in the software design and architecture industry. At Disruptive Tech Solutions, we pride ourselves on a culture that blends technical excellence with creativity and collaboration. Our workplace is fast-paced and tech-savvy, yet supportive and nurturing – a place where your ideas truly can become the next big product. We value continuous learning, so you’ll find opportunities to upskill in the latest technologies, be it cloud, data science, or new development frameworks. As a company that turns ideas into reality, we encourage our team members to think outside the box, challenge the status quo, and grow their careers in the process. Innovation: We embrace new ideas and technologies, encouraging our team to experiment and stay ahead of the curve. Quality & Integrity: Delivering top-notch solutions with honest work ethics is non-negotiable. We do what’s right for our clients, every time. Collaboration: Open communication and teamwork define our daily work. From management to junior developers, everyone’s voice is heard and respected. Growth & Learning: Whether through hackathons, training programs, or attending industry conferences, we invest in our employees’ professional development. Work-Life Balance: We believe productivity comes with balance. Flexible schedules, remote work options, and a supportive environment help our team excel without burnout. AI/ML Engineer Jacksonville, FL | Full-Time, On-Site Job Description:We are seeking an experienced AI/ML Engineer to design and deploy predictive microservices and machine learning pipelines for PropTech analytics. Key Responsibilities: • Build predictive models and expose them via REST APIs for tenant churn, rent optimization, etc. • Design ETL pipelines for structured and IoT data using Databricks and Azure Synapse. • Automate model validation, retraining, and A/B testing using MLOps best practices. • Create visual analytics dashboards using Angular, Highcharts, and Power BI. • Collaborate with .NET teams to integrate ML services into production APIs. • Lead R&D on LLMs and computer vision solutions for property management applications.