AISquared · 7 hours ago
Data Scientist
Washington, DC
Full-time
Hybrid
Senior Level
5+ years expaisquared is seeking a highly motivated Data Scientist with a strong background in applied machine learning and AI to join their growing team. The role involves developing core AI/ML solutions, collaborating closely with product and engineering teams, and applying advanced techniques to solve complex challenges.
Artificial Intelligence (AI)Data Collection and LabelingInformation ServicesInformation TechnologyMachine Learning
Responsibilities
Leverage 5+ years of experience in data science to design, implement, and optimize machine learning models and pipelines
Develop, fine-tune, and evaluate large language models (LLMs) for a variety of applications, ensuring accuracy, performance, and robustness
Collaborate with engineering and product teams to integrate AI/ML solutions into our platform in a scalable and maintainable way
Conduct applied research, staying current on advances in LLMs, generative AI, and data science methodologies, and translate them into practical solutions
Build end-to-end workflows, from data exploration and feature engineering to training, validation, deployment, and monitoring in production
Apply modern containerization and orchestration techniques (e.g., Docker, Kubernetes) to support reproducible experimentation and deployment
Work with cloud platforms (e.g., Databricks, AWS, GCP, Azure) to manage data pipelines, large-scale training jobs, and distributed systems
Collaborate across teams to ensure our AI capabilities align with platform goals and business needs
Qualification
Required
5+ years of experience as a Data Scientist or Machine Learning Engineer, with proven success in deploying models to production
Hands-on experience with large language models (LLMs); fine-tuning experience strongly preferred
Strong background in Python and ML frameworks such as PyTorch or TensorFlow
Proficiency in containerization and orchestration technologies (Docker, Kubernetes)
Experience with cloud platforms and ML ecosystems (Databricks, AWS, GCP, Azure)
Familiarity with MLOps best practices, including model deployment, monitoring, and CI/CD for ML
Strong analytical and problem-solving skills, with the ability to translate research into production-ready solutions
Excellent communication and collaboration skills, with the ability to work effectively across product, engineering, and leadership teams
A proactive, self-starter mindset with a passion for applied research and innovation
Company
AISquared
AISquared helps large organizations bring AI to where work happens.
51-200 employees
H1B Sponsorship
AISquared has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2022 (1)
2021 (8)
Funding
Current Stage
Growth StageTotal Funding
$19.8MKey Investors
Ansa CapitalNew Enterprise Associates
2024-04-17Series A· $13.8M
2022-06-27Seed· $6M
Leadership Team
Darren Kimura
President and Chief Executive Officer
Recent News
Business News: Pasadena Star-News
2025-09-19
2025-08-13
Company data provided by crunchbase