Data Scientist at AI Sqaured

Washington, District of Columbia, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, SoftwareIndustries

Skills

Key technologies and capabilities for this role

Machine LearningData ScienceLarge Language Models (LLMs)PythonPyTorchTensorFlowModel DeploymentData ExplorationFeature EngineeringContainerizationKubernetesCloud Platforms (Databricks, AWS, GCP, Azure)Data PipelinesDistributed Systems

Questions & Answers

Common questions about this position

What is the work arrangement for this Data Scientist role?

The position is hybrid and based in Washington, DC.

What experience level is required for this position?

Candidates need 5+ years of experience as a Data Scientist or Machine Learning Engineer, with proven success in deploying models to production.

What technical skills are required for this Data Scientist role?

Required skills include strong background in Python and ML frameworks such as PyTorch or TensorFlow, proficiency in Docker and Kubernetes, experience with cloud platforms like Databricks, AWS, GCP, Azure, and familiarity with MLOps best practices.

What kind of collaboration is expected in this role?

You will collaborate closely with product and engineering teams to integrate AI/ML solutions and ensure alignment with platform goals and business needs, requiring excellent communication and collaboration skills.

What makes a strong candidate for this Data Scientist position?

A strong candidate has hands-on experience with LLMs (fine-tuning preferred), a proactive self-starter mindset, strong analytical and problem-solving skills, and the ability to translate research into production-ready solutions.

AI Sqaured

Integrates AI models into business applications

About AI Sqaured

Squared.ai focuses on predictive and generative artificial intelligence to enhance business productivity. The company helps businesses integrate AI and machine learning models into their operations, making AI-generated insights more accessible. By bridging the gap between data science and business teams, Squared.ai enables faster launches of AI projects and optimizes machine learning models for real-time integration with business applications. Their services include designing user-friendly experiences and ensuring model performance through real-time monitoring and auto-tuning. This approach allows businesses to gain insights quickly without lengthy development cycles. The goal of Squared.ai is to democratize AI, making it easier for organizations to adopt and leverage AI-driven decision-making.

Washington, District of ColumbiaHeadquarters

2021Year Founded

$19.3MTotal Funding

SERIES_ACompany Stage

Data & Analytics, AI & Machine LearningIndustries

51-200Employees

Risks

Emerging competition from Nvidia's mini supercomputer offering significant AI computing power.

Integration challenges from Multiwoven acquisition may disrupt operations.

Rapid expansion post-funding could lead to overextension and resource strain.

Differentiation

AI Squared bridges data science and business teams for faster AI project launches.

The platform democratizes AI-enhanced decision-making for businesses.

Real-time performance monitoring ensures optimal AI model performance in business applications.

Upsides

Acquisition of Multiwoven enhances data integration capabilities for seamless AI model integration.

Partnership with UNIFI Music expands AI integration services into the music industry.

$13.8M Series A funding boosts AI integration capabilities and platform features.

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