Intern – AI Engineer at Kalderos

Chennai, Tamil Nadu, India

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

N/AIndustries

Requirements

Interest, coursework, or experience in Computer Science, Information Technology, Data Science, or related fields
Solid programming skills in Python (preferred), Java, or C++
Familiarity with AI/Machine Learning concepts and techniques
Experience using libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar
Understanding of RDBMS and SQL (Oracle, SQL Server, MySQL)
Strong analytical and troubleshooting abilities
Proactive and willing to collaborate within cross-functional IT teams
Strong written and verbal communication skills, with the ability to document and present progress
Ability to work effectively in a fast-paced, test-driven, and agile SDLC environment

Responsibilities

Join an Agile IT team, working closely with Enterprise Applications, IT FinOps, BI, and AI team members
Assist in developing and deploying AI-driven solutions to automate and optimize internal business processes (e.g., IT operations, finance, reporting)
Build and maintain analytic dashboards and data pipelines that empower IT and business stakeholders
Collaborate with IT leaders to enhance system integrations, data quality, and reporting capabilities through AI
Support design, development, and testing of internal tools using AI and automation frameworks
Document workflows and assist with training materials for new solutions adopted by internal teams
Stay up to date on new AI technologies and share learnings with colleagues
Participate in team meetings and contribute ideas to improve operational efficiency, business intelligence, and internal system performance
Help troubleshoot and resolve issues in AI-supported applications, ensuring high reliability and user satisfaction

Skills

Python

Java

C++

TensorFlow

PyTorch

Scikit-learn

SQL

Oracle

SQL Server

MySQL

Kalderos

Optimizes drug discount management platform

About Kalderos

Kalderos provides a platform designed to improve the management of drug discounts in the healthcare sector. This platform helps healthcare providers and pharmaceutical manufacturers accurately manage discount claims and avoid duplicate discounts. By using data analytics and machine learning, Kalderos simplifies the complicated process of drug discount management, making it more efficient and clear. Clients subscribe to the service, paying for access to the platform and its features, which include real-time data validation, detailed reporting tools, and automated compliance checks. These features assist clients in saving time and minimizing financial risks related to drug discount programs. Kalderos primarily serves large healthcare systems and pharmaceutical companies in the United States.

Chicago, IllinoisHeadquarters

2016Year Founded

$48.6MTotal Funding

LATE_VCCompany Stage

Consulting, AI & Machine Learning, HealthcareIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Company Match

401(k) Retirement Plan

Paid Vacation

Phone/Internet Stipend

Commuter Benefits

Home Office Stipend

Risks

Strategic shifts by new CSO Daryl Todd may disrupt existing operations.

Involvement in Arkansas litigation could lead to legal challenges or reputational damage.

Accountant shortage in the U.S. may impact Kalderos' financial reporting capabilities.

Differentiation

Kalderos offers a unique SaaS-based drug discount management solution.

The platform uses machine learning to detect inconsistencies in drug discount claims.

Kalderos provides real-time data validation and automated compliance checks.

Upsides

Growing demand for AI-driven compliance solutions in healthcare boosts Kalderos' market potential.

Expansion of 340B program compliance needs increases demand for Kalderos' services.

Collaboration opportunities with hospitals enhance Kalderos' drug discount management capabilities.

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