mokSa.ai

mokSa.ai is a surveillance audit platform that utilizes AI-driven tools to protect businesses from losses caused by shoplifting and employee fraud. We offer features such as customer count tracking, employee time management, and aisle heat mapping to provide valuable data for strategic decision-making. Our standout feature is AI-powered customer count tracking, which optimizes resource allocation and cost efficiency.

moksa.ai

mokSa.ai

moksa.ai

HQUS

Team Size42

Open Jobs4

Total Funding-

Latest FundraiseUnknown

TL;DR

What they do: AI-driven, camera-agnostic real-time video analytics for theft detection, people counting, heatmaps, and safety/compliance monitoring

Founded / HQ: Founded 2021; headquartered in Detroit, Michigan, USA

Business model: Subscription platform that integrates with existing IP cameras

Recent funding: Pre-Seed round (~$1.5M) announced Apr 2024 with Array Ventures participating

Company Overview

Problem Domain

Loss prevention, operational intelligence, and safety/compliance for physical businesses (retail, hospitality, education, fuel stations, food-safety environments).

Founded

2021

Industry

Software Development

Funding Track Record

Pre-Seed- 2024-04-22

$1,500,000

Round reported with participation from angel and other investors (reports reference Jay Farner and additional investors).

Investor Signal

“Array Ventures participation and reported angel investors (including Jay Farner) indicate early institutional and angel backing”

Founders

What we do

TL;DR

Company Overview

Funding Track Record

Founders

What we do

mokSa.ai

moksa.ai

mokSa.ai

moksa.ai

HQUS

Team Size42

Open Jobs4

Total Funding-

Latest FundraiseUnknown

TL;DR

What they do: AI-driven, camera-agnostic real-time video analytics for theft detection, people counting, heatmaps, and safety/compliance monitoring

Founded / HQ: Founded 2021; headquartered in Detroit, Michigan, USA

Business model: Subscription platform that integrates with existing IP cameras

Recent funding: Pre-Seed round (~$1.5M) announced Apr 2024 with Array Ventures participating

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Company Overview

Problem Domain

Loss prevention, operational intelligence, and safety/compliance for physical businesses (retail, hospitality, education, fuel stations, food-safety environments).

Founded

2021

Industry

Software Development

Funding Track Record

Pre-Seed- 2024-04-22

$1,500,000

Round reported with participation from angel and other investors (reports reference Jay Farner and additional investors).

Investor Signal

“Array Ventures participation and reported angel investors (including Jay Farner) indicate early institutional and angel backing”

Founders

What we do

Related Companies

Company	HQ	Industry	Total Funding
PIPRA Solutions	🇮🇳Hyderābād, IN	Blockchain and CryptoData and AnalyticsDeepTechInformation TechnologyMobile, Platforms, and AppsSoftware	-
Wing Assistant	🇺🇸US	Commerce and ShoppingInformation TechnologyInternet ServicesSales and MarketingSoftware	-
HAMMOQ Inc.	🇺🇸Phoenix, US	Commerce and ShoppingData and AnalyticsDeepTechInformation TechnologyInternet ServicesSoftware	$9M
Nvelop Technologies	🇫🇮FI	Data and AnalyticsDeepTechInformation TechnologySoftware	-
UptimeAI Inc.	🇺🇸South San Francisco, US	Data and AnalyticsDeepTechInformation TechnologySoftware	$19M

Join the Team

mokSa.ai - DevOps Engineer - Cloud Infrastructure

On-SiteHyderabad, IN

On-Site • Hyderabad, IN

Responsibilities

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Software Engineer

Full-timeTel Aviv

Full-time • Tel Aviv

Design, deploy, and manage cloud-based infrastructure for machine learning workloads, ensuring scalability, reliability, and performance.

Collaborate with data scientists and machine learning engineers to understand model requirements and operationalize machine learning pipelines.

Implement CI/CD pipelines for automating the training, testing, and deployment of machine learning models.

Develop and maintain monitoring and alerting systems to track the performance and health of deployed machine learning models.

Optimize resource utilization and cost-effectiveness of cloud resources used for machine learning tasks.

Implement security best practices to protect sensitive data and machine learning models in cloud environments.

Work closely with software development teams to integrate machine learning models into production applications.

Troubleshoot and resolve issues related to infrastructure, deployment, and performance of machine learning systems.

Stay updated with the latest advancements in cloud computing, DevOps tools, and machine learning technologies.

Document processes, procedures, and configurations related to machine learning infrastructure and deployment pipelines.

Bachelors degree in Computer Science or related field.
2+ Experience with cloud platforms (AWS) and DevOps practices.
Proficiency in scripting languages (Python, Shell scripting).
Familiarity with containerization (Docker, Kubernetes) and machine learning frameworks.
Strong problem-solving skills and ability to work in a fast-paced environment.

Preferred Qualifications

Certification in AWS and Kubernetes are Preferred
Experience with infrastructure automation tools (Terraform, Ansible).
Knowledge of machine learning deployment tools (MLflow, Kubeflow).
Familiarity with cybersecurity principles for cloud-based systems.

Perks & Benefits

Salary is not a constraint to right candidate - as per market value