Clarity2Cloud Recruitment 2026 brings an exciting opportunity for fresh graduates and early-career professionals aiming to build a strong career in Artificial Intelligence and Machine Learning. Through the Unstop Tech Fair 2026, Clarity2Cloud Technology Private Limited is hiring AI/ML Engineers for its Noida location in a hybrid work model. This opening is ideal for candidates passionate about working with modern AI systems, large language models, and scalable cloud-based solutions.
With the rapid adoption of AI across industries, freshers hiring for AI/ML roles has gained significant momentum. This off campus drive offers hands-on exposure to real-world AI products, making it a valuable career launchpad for aspiring engineers.
Clarity2Cloud Recruitment 2026
| Category | Details |
|---|---|
| Company Name | Clarity2Cloud Technology Pvt. Ltd. |
| Job Role | AI/ML Engineer |
| Job Type | Full Time (Hybrid) |
| Experience | Fresher |
| Qualification | Any relevant graduate degree |
| Location | Noida |
| Salary | ₹3 LPA – ₹3.6 LPA |
| Hiring Event | Unstop Tech Fair 2026 |
Job Overview
The AI/ML Engineer role at Clarity2Cloud is a full-time, hybrid position designed for freshers with a strong foundation in Python, machine learning concepts, and AI system development. Selected candidates will work on designing, deploying, and optimizing AI models across use cases such as NLP, conversational AI, recommendation systems, and predictive analytics.
This role combines model development, data engineering, deployment, and collaboration with cross-functional teams, offering a comprehensive learning experience for early-career professionals.

Key Responsibilities
As an AI/ML Engineer at Clarity2Cloud, candidates will work across the complete AI development lifecycle. Key responsibilities include:
Model Development & Integration
- Designing and implementing AI/ML models for NLP, speech recognition, recommendation engines, and predictive analytics
- Fine-tuning large language models (LLMs) and integrating them with APIs such as OpenAI, Anthropic, and HuggingFace
- Building and maintaining Retrieval-Augmented Generation (RAG) pipelines using vector databases
AI System Engineering
- Developing APIs and microservices using Python, FastAPI, and Flask
- Implementing conversation memory, context handling, and multi-turn dialogue systems
- Optimizing models for performance, scalability, and cost efficiency
Data Engineering & Processing
- Building pipelines for data ingestion, cleaning, labeling, and transformation
- Managing embeddings, structured and unstructured datasets, and knowledge bases
- Performing feature engineering for supervised and unsupervised learning
Deployment & Monitoring
- Containerizing AI services using Docker and Kubernetes
- Deploying AI solutions on cloud platforms such as AWS, GCP, or Azure
- Monitoring model performance, accuracy, and drift with retraining workflows
- Supporting CI/CD pipelines and MLOps processes
Collaboration
- Working with product managers, designers, and full-stack engineers to integrate AI features
- Participating in code reviews, sprint planning, and architecture discussions
- Staying updated with AI research and proposing innovative approaches
Skills Required
Candidates applying for Clarity2Cloud AI/ML Engineer Recruitment 2026 should have the following skills:
Required Skills
- Strong programming skills in Python
- Experience with AI/ML libraries such as TensorFlow, PyTorch, scikit-learn, and HuggingFace
- Knowledge of large language models, LangChain, RAG, embeddings, and conversational AI
- Understanding of data structures, algorithms, and software engineering principles
- Experience deploying ML solutions on cloud platforms (AWS, GCP, or Azure)
- Familiarity with databases such as PostgreSQL, Redis, and vector databases like FAISS or Pinecone
- Hands-on experience with APIs, FastAPI/Flask, Docker, and Kubernetes
Nice to Have
- Exposure to speech-to-text and text-to-speech systems
- Experience with MLOps tools like MLflow, Kubeflow, or SageMaker
- Contributions to open-source AI/ML projects
- Experience working on SaaS-based products
Why Join Clarity2Cloud?
Clarity2Cloud offers an environment where innovation and learning go hand in hand. Key benefits include:
- Opportunity to work on real-world AI products for global clients
- Strong exposure to modern AI stacks, LLMs, and cloud platforms
- Collaborative, growth-oriented work culture
- Career development across AI, Cloud, and Cybersecurity domains
- Flexible hybrid work model
- Access to partner ecosystems and advanced tools
For candidates searching for AI/ML off campus drive 2026, this role provides both technical depth and long-term growth potential.
Salary Details
The salary for the AI/ML Engineer role at Clarity2Cloud ranges between ₹3 LPA and ₹3.6 LPA, depending on skills and performance during the selection process. Additional benefits may include learning resources, mentorship, and exposure to high-impact projects.
Hiring Location
- Noida (Hybrid work model)
How to Apply
Interested candidates can apply online through the Unstop Tech Fair 2026 before the application deadline. Applicants are advised to:
- Prepare an updated resume highlighting AI/ML projects and skills
- Showcase hands-on experience with Python, LLMs, or cloud deployments
- Apply only through official platforms
Clarity2Cloud Apply Link :  Click here
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About the Company
Clarity2Cloud Technology Private Limited is a technology-driven company focused on delivering advanced solutions across AI, Cloud, and Cybersecurity domains. The company works closely with global clients and small-to-medium businesses to design, build, and deploy intelligent digital products.
Clarity2Cloud emphasizes innovation, continuous learning, and collaboration. With partnerships and ecosystem access across platforms such as AWS, GCP, and Neysa.ai, the organization provides employees with opportunities to work on cutting-edge technologies while developing industry-relevant skills. Clarity2Cloud Recruitment 2026 reflects the company’s commitment to nurturing fresh talent and building future-ready engineering teams.



