Top Tech Jobs & Startup Jobs in Chicago, IL

The Lead Engineer will oversee AI agent development, ensuring quality and compliance, and collaborate with business teams on AI projects.

Lead end-to-end AI programs by translating business needs into technical requirements, aligning stakeholders, performing data discovery and EDA, managing data wrangling, and ensuring AI initiatives deliver measurable ROI.

Lead QE-focused sales and client relationships to win and deliver multi-million-dollar QE transformation deals. Drive presales, RFP responses, solution and pricing strategy, executive stakeholder management, thought leadership, and QE practice growth.

Lead Data Scientist will design and deploy forecasting models, manage projects, mentor juniors, and collaborate with various teams in the healthcare domain.

The Senior Data Engineer will design, develop, and support data solutions, working with extensive cloud and data technologies while collaborating with Agile teams.

The Senior Data Scientist will optimize supply chain strategies through advanced analytics and predictive modeling, collaborating with teams to design data-driven solutions.

The Azure Architect will design and migrate enterprise technology products to Azure, guiding development teams through all stages while ensuring compliance and security.

The Business Analyst will analyze capital markets processes, support data quality and controls, gather requirements, and manage stakeholder communication.

The Data Engineer will design, implement and manage data integration, pipelines, and models using tools like Snowflake and Airflow, while optimizing data processing for analytics.

The DS/AI Tech Partner will lead business development in AI/ML, design enterprise-level data science solutions, and drive strategic initiatives, while mentoring teams and delivering client-specific outcomes.