Dev Ops Engineer at AI Sqaured

India

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Cloud Computing, DevOps, AI/MLIndustries

Requirements

Candidates should possess 3+ years of hands-on experience in a DevOps role, strong proficiency with Azure and AWS, experience with containerization and orchestration such as Docker and Kubernetes, experience with monitoring and logging tools like Prometheus, Grafana, and Loki, experience building and maintaining workflows with GitHub Actions, scripting skills in Python or Bash, experience with git and git-based workflows, and familiarity with collaboration development tools like Linear, Slack, and Confluence.

Responsibilities

The DevOps Engineer will be responsible for designing, implementing, and maintaining scalable, secure, and cost-effective cloud infrastructure in Azure, building and optimizing automated CI/CD pipelines for seamless deployment, automating manual processes and workflows, monitoring and troubleshooting systems to ensure uptime and reliability, collaborating with software engineers, data scientists, and product teams, adhering to security best practices, continuously evaluating and optimizing system performance and cost, and creating and maintaining documentation on deployment processes and troubleshooting guides.

Skills

Azure

AWS

Docker

Kubernetes

CI/CD

Cloud Infrastructure Design

Monitoring

Incident Response

Security Best Practices

SOC 2

CCPA

Automation

Documentation

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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