Top Remote Senior Level Python Jobs in Washington DC,

Seeking a highly skilled Platform Engineer with expertise in SQL Database Administration and infrastructure automation. Responsibilities include optimizing database systems, implementing automation solutions, and providing expertise in database performance tuning and troubleshooting. This role involves collaborating with cross-functional teams and mentoring junior team members.

The Lead Backend Engineer will develop and maintain scalable, secure solutions across multiple layers of technology. Responsibilities include designing cloud infrastructure, developing APIs, optimizing performance, troubleshooting incidents, and mentoring team members while ensuring system resilience and automation practices.

The Senior Solutions Architect at Imply will guide customers in the architecture and operations of their database product, facilitate successful implementations, engage with a variety of teams, and help identify new use cases for client solutions.

The Analytics Engineering Manager will lead data analytics teams responsible for building and maintaining data models, metrics, and insights to support internal and external stakeholders. This role involves managing teams, overseeing data quality, fostering collaboration, and driving the development of efficient data pipelines to enhance educational tools and services for students and teachers.

As a Sr. Web Developer I, you will lead a team in building and maintaining web pages and applications, handle complex redesign projects, provide technical support, mentor junior developers, and ensure high code quality while aligning technical solutions with business goals.

The AI Architect will design and oversee the implementation of AI solutions, collaborating with teams to tailor these solutions for business needs, ensuring scalability and sustainability while driving innovation and competitive advantage.

The ML Engineer - Inference at Symbl.ai will develop and optimize deep learning models for real-time communication applications, focusing on the Nebula language model. Responsibilities include designing algorithms, integrating models into production, optimizing for various environments, and evaluating model performance, all while collaborating with cross-functional teams.