Design and maintain Django applications, optimize PostgreSQL databases, manage authentication, and collaborate with global teams to enhance AI-driven solutions.

The Sr. Data Analyst will analyze, visualize, and model complex datasets, ensuring data integrity and supporting decision-making across the organization.

The Data Analyst will gather, analyze, and visualize large datasets, leveraging tools like Power BI and SQL to provide actionable insights and support data-driven decision-making.

The Sr. Data Engineer will design, build, and maintain data infrastructure for analytics using Azure and Databricks, mentor junior staff, and migrate data solutions.

As a Data Scientist, you will architect scalable solutions, apply advanced analytics, develop data solutions, and communicate insights to improve business strategies.

The Data Scientist will architect scalable solutions, transform data into insights, collaborate with teams, and develop predictive models to enhance business strategies.

Lead engineering initiatives focusing on ML and software engineering, overseeing product strategy, team mentorship, and cross-functional collaboration.

Lead engineering initiatives with a focus on ML and software development, driving team excellence through strategic leadership and collaboration.

The Director of Sales will develop and execute sales strategies, foster team development, manage sales operations, and enhance client relationships to boost revenue growth.

The Director of Partnerships develops strategies to manage and grow partnerships, enhancing revenue and market presence while collaborating cross-functionally to achieve company goals.

The Data Analyst will gather, clean, analyze, and visualize complex datasets using Power BI and other tools to support data-driven decisions and collaborate with teams.

The Data Analyst will analyze and visualize complex datasets to support data-driven decision-making, utilizing tools like Power BI, SQL, and Python.

Lead the design and maintenance of robust data architectures, ensure data quality, mentor engineers, and collaborate across teams to develop data solutions.

Lead the design, implementation, and maintenance of data architectures, ensuring scalability and quality with a focus on data solutions across AWS and GCP.

Responsible for designing and maintaining data architecture, optimizing data pipelines, mentoring team members, and ensuring data quality and performance.

Lead the design, implementation, and maintenance of data architectures and pipelines, ensuring high-quality data management and performance while mentoring junior engineers and collaborating across teams.

The Senior Data Scientist will develop LLM-based applications, design data pipelines, evaluate models, and collaborate with teams to meet business needs.

As an MLOps Engineer, you will oversee the lifecycle of ML models, boost performance, manage deployments, and collaborate on computer vision projects.

The AI Engineer will develop and maintain MLOps pipelines for machine learning models, focusing on computer vision algorithms and ensuring efficient production deployment.

Design, build, and maintain data infrastructure for integration and analytics. Lead architecture and development projects within the Aviation Industry, focusing on Azure and Databricks. Mentor junior staff and collaborate with teams on data solutions.