Carrier Off Campus Hiring 2026: Associate – AI & Data Engineering | 0–2 Years | Bangalore | Apply Now
Carrier Off Campus Hiring 2026: Associate – AI & Data Engineering | 0–2 Years | Bangalore | Apply Now
Carrier Careers has announced an exciting opportunity for an Associate – AI & Data Engineering in Bangalore. The role is part of Carrier’s Digital Technology team and is suitable for candidates with 0–2 years of relevant experience in AI platforms, cloud engineering, automation, data platforms, or enterprise application development.
This is a strong opportunity for candidates looking to build their career in Generative AI, AI platforms, cloud technologies, automation, data engineering, and MLOps/LLMOps.
Job Details
Company: Carrier
Job Role: Associate – AI & Data Engineering
Job ID: 30213204
Job Category: Digital Technology
Experience: Freshers 0–2 Years
Qualification: Bachelor’s Degree
Job Type: Full Time
Location: Bangalore, Karnataka, India
About the Role
The Associate – AI & Data Engineering will help build and support enterprise AI and data capabilities. The position focuses on integrating AI platforms, developing secure enterprise connectors, implementing retrieval-augmented generation solutions, automating workflows, and supporting AI governance and operations.
Candidates may work with technologies such as:
- Microsoft Copilot and Copilot Studio
- Google Gemini Enterprise
- Google Cloud Vertex AI
- Azure AI Foundry and Azure AI Services
- Python or TypeScript
- Microsoft Power Platform and Power Automate
- Semantic Kernel and Azure AI Agent Service
- Microsoft Graph and Google Cloud APIs
- Vector databases and embeddings
- GitHub and CI/CD
- Power BI or Looker
- Microsoft Purview
- MLOps and LLMOps technologies
Key Responsibilities
1. AI Platform Engineering
The selected candidate will contribute to designing, deploying, and maintaining AI platform solutions involving Microsoft Copilot, Google Gemini Enterprise, Google Workspace, and Vertex AI.
The role also involves developing enterprise connectors, plugins, and OpenAPI integrations with databases, ERP systems, and legacy applications.
2. Automation & Agentic AI
Candidates will work on autonomous and multi-agent workflows using technologies such as Semantic Kernel, Azure AI Agent Service, Python, and TypeScript.
The position also involves connecting low-code automation tools such as Power Platform, Power Automate, and Logic Apps with programmatic backend solutions.
3. AI Platform Evaluation
The role requires evaluating emerging AI technologies and comparing their capabilities against enterprise requirements. Technologies mentioned in the job description include Codex, Claude, and Kong AI.
4. Security, Governance & Performance
The candidate will help implement AI governance, access controls, data-loss prevention policies, security boundaries, and data-residency requirements.
The position also involves monitoring AI usage, API performance, response quality, and costs.
5. MLOps & LLMOps
The role includes operationalizing machine learning and generative AI solutions across the Azure AI ecosystem, including monitoring, CI/CD deployments, model and prompt lifecycle management, observability, and responsible AI practices.
Eligibility Criteria
According to the official Carrier job posting, candidates should meet the following requirements:
- Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related field
- 0–2 years of relevant experience
- Basic hands-on programming experience in Python, TypeScript, JavaScript, or a similar language
- Familiarity with Microsoft Azure, Google Cloud Platform, Microsoft 365, or Power Platform
- Basic understanding of Generative AI, APIs, data integration, retrieval, prompts, embeddings, or model lifecycle concepts
- Awareness of access control, data privacy, compliance, and responsible AI
- Good communication, documentation, collaboration, and ownership skills
Is This Job Suitable for Freshers?
Yes, potentially. The official posting specifies 0–2 years of relevant experience, meaning candidates at the beginning of their careers can be considered. However, the position expects practical knowledge of programming, cloud platforms, AI concepts, automation, and enterprise technologies.
Therefore, fresh graduates with relevant projects, internships, certifications, or hands-on experience in Python, AI/ML, Azure, Google Cloud, Generative AI, APIs, or automation may find this opportunity particularly relevant.
Skills to Prepare
- Candidates applying for this role should focus on:
- Python / TypeScript
- Generative AI fundamentals
- LLMs and prompt engineering
- RAG and embeddings
- Vector databases
- REST APIs
- Azure AI
- Google Cloud / Vertex AI
- Microsoft Copilot Studio
- Power Platform
- Git and GitHub
- CI/CD pipelines
- AI agents and automation
- Data security and governance
How to Apply for Carrier Associate – AI & Data Engineering?
Interested and eligible candidates can apply through the official Carrier careers portal. The job was posted on August 14, 2026, and the official listing provides an Apply option for the position.
Official Application: Apply Now
Important Note
This recruitment information is based on the official Carrier job posting. Candidates should carefully review the official listing for the latest eligibility requirements and application status before applying.
Frequently Asked Questions (FAQs)
1. What is the job role at Carrier?
The position is Associate – AI & Data Engineering.
2. Where is the job located?
The position is based in Bangalore (Bengaluru), Karnataka, India.
3. What is the required experience?
Carrier specifies 0–2 years of relevant experience.
4. Can freshers apply?
Yes. Candidates with 0 years of experience can be considered, provided they meet the required technical and educational criteria.
5. What is the qualification?
A Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related field is required.
6. Which programming languages are required?
The job posting mentions Python or TypeScript, while JavaScript or a similar programming language may also satisfy the basic programming foundation requirement.
7. What technologies are involved?
The role involves AI platforms, Azure, Google Cloud, Copilot, Gemini, Vertex AI, Python/TypeScript, Power Platform, RAG, AI agents, CI/CD, MLOps, and LLMOps.
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