Top Python Jobs in Washington, DC

The Sr. Solutions Architect will lead technical pre-sales efforts, creating POCs for clients and enhancing AI product understanding, requiring collaboration with sales and delivery engineers.

The Software Engineer II develops and enhances software systems, coaches team members, and contributes to all phases of the development lifecycle utilizing various programming languages and frameworks.

As a Senior AI Developer, you will create software solutions using Azure and cutting-edge AI technologies, developing reliable code and collaborating with cross-functional teams to improve processes and implement innovative solutions.

As a Lead AI/ML Engineer, you will analyze business requirements, lead AI initiatives, collaborate with teams, and advocate for responsible AI practices while mentoring team members.

The Machine Learning Engineer will apply advanced ML techniques in production for diverse models, enhance existing products, and manage large datasets while ensuring scalability and improvement in service efficacy.

As a Mission Software Engineer, you will support government clients by developing and implementing scalable, high-performance solutions, managing data integration, and enhancing customer engagement through feedback-driven feature development.

Seeking a Senior Machine Learning Engineer skilled in computer vision for analyzing surgical videos, developing algorithms, and collaborating on technical solutions.

The Senior Process Optimization Analyst optimizes business operations via analysis and process improvement, focusing on Gen AI and automation solutions while guiding junior team members and ensuring QA testing aligns with business needs.

The role involves developing scalable Python back-end applications, mentoring junior developers, and designing complex back-end systems and databases.

The Quantum Algorithms Scientist will perform simulations of quantum algorithms, develop numerical methods for quantum computing, and contribute to research publications.

Design, develop, and maintain web applications and digital solutions, focusing on both front-end and back-end development, while ensuring high performance and scalability.

Design and implement API-driven integrations, engage with customers, manage projects, and build solutions using various technologies.

As a Software Engineer, you'll design solutions in autonomy, collaborate on diverse products, and influence technical decisions while working across different engineering domains.

The Sales Engineer will drive growth with the U.S. DoD and IC, combining technical expertise with customer support, leading demos, and understanding client needs.

This role leads the AI strategy at AmeriLife, aiming to enhance productivity and operational efficiency by developing AI solutions across the business.

Data and Analytics Consultants assist clients by delivering strategic data solutions, managing projects, and leveraging advanced analytics and visualization tools.

AI and Technology Consultants work with clients to execute strategic initiatives, leveraging technical and business skills. They help translate business needs into actionable technical solutions.

DevOps Engineers needed to manage application lifecycles, automate workflows, implement CI/CD, and maintain system performance in cloud environments.

The ISSO ensures the security of applications and infrastructure, develops policies, conducts assessments, and manages incident responses while adhering to federal requirements.

As a Senior Threat Intelligence Analyst, you'll research advanced threats, lead hunting programs, and present findings to senior leaders while collaborating with multiple teams.

As a Senior Software Engineer, you will develop IT solutions for national security, automate processes, support applications, and collaborate with teams using various technologies.

As a Staff Software Engineer, you will lead projects that involve scalable data ingestion and processing, working with cross-functional teams to enhance natural language processing and machine learning capabilities.

The AI/ML Cloud Engineer will manage cloud infrastructure, optimize AI models, ensure cybersecurity compliance, and automate deployment processes.

Lead the deployment and optimization of AI/ML cloud infrastructure, oversee algorithms and pilot projects, and manage risk and compliance for the Department of Defense.

Lead technical benchmarking and model evaluation for Generative AI in DoD, focusing on RAG, model monitoring, and document analysis using AI frameworks.