Factored
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Develop and implement comprehensive compensation and benefits plans, conduct benchmarking analysis, manage salary review processes, collaborate with finance and recruitment, stay informed about legislative changes, and manage leadership team's compensation activities.
The Head of People and Culture is a hands-on leader responsible for shaping Factored's culture, people programs, and organizational processes, while providing leadership and strategic guidance to enhance employee engagement and performance.
Design, develop, and maintain data pipelines, data models, and ETL processes to support business operations. Collaborate with stakeholders to translate data requirements into scalable analytics solutions. Ensure data quality, accuracy, and consistency through monitoring techniques. Implement optimizations for data pipelines and analytics processes. Build code using CI/CD best practices and work with data scientists to implement data-driven models and visualizations.
The Data Engineer will develop and maintain ETL processes using Python, design and optimize data pipelines on Databricks, write SQL queries, and collaborate with stakeholders on data needs. Responsibilities also include building scalable infrastructure using big data technologies and ensuring data security and compliance.
The Advanced Accelerator Program focuses on training engineers in either LLMs or MLOps, providing them with the skills to design, build, and maintain ML systems. Program graduates will master scalable ML solutions and apply software engineering best practices in production environments.
As a Full-Stack Engineer, you will design, develop, and implement GenAI applications, working on both the frontend using React and the backend with Python. Your role includes developing new features, performing code reviews, collaborating with teams, integrating ML models, and ensuring application performance and scalability.
As a Software Engineer, you will architect and develop scalable AI applications, focusing on generative AI solutions. Your responsibilities include creating Web APIs, managing applications on cloud platforms, and collaborating with teams to ensure impactful user experiences. You will also conduct code reviews, mentor junior developers, and lead the full SDLC process while staying updated on AI trends.
Responsible for extracting insights from complex data sets, developing predictive models, applying advanced analytical techniques, and driving strategic decision-making to optimize business outcomes. Collaborate with cross-functional teams to define project objectives and develop data-driven solutions. Stay current with data science advancements and apply emerging methodologies to enhance existing models and processes.