A technology team in Noida, Uttar Pradesh is looking for enthusiastic and highly motivated freshers for the role of AIML Developer – Campus Advanced Beginner. This opportunity is designed for recent graduates who want to build their careers in Artificial Intelligence, Machine Learning, Data Science and Generative AI.
The role is suitable for candidates with a B.Tech or Master’s degree in a relevant technical field such as Computer Science, IT, Electronics, AI, Machine Learning or Deep Learning. Selected candidates will contribute to different stages of AI and software product development, including data preparation, model development, deployment and monitoring.
This is a strong opportunity for fresh graduates who have hands-on Python knowledge and a solid understanding of machine learning, deep learning, Generative AI, databases and data structures.
Campus – Advanced Beginner AIML Developer – Overview
| Details | Information |
|---|---|
| Job Role | Fresher AIML Developer |
| Job Level | Campus – Advanced Beginner |
| Experience | Freshers |
| Location | Noida, Uttar Pradesh |
| Qualification | B.Tech / Master’s Degree |
| Eligible Fields | CSE / IT / EC / AI / ML / DL |
| Programming | Python |
| Database | SQL |
| Core Areas | AI, ML, Deep Learning, GenAI, LLMs |
| Work Mode | Not Specified |
| Salary | Not Specified |
About the AIML Developer Role
The Fresher AIML Developer will be part of an innovative technology team working on software and AI products.
The role covers the complete AI product lifecycle, starting from data collection and cleaning through model development, deployment and monitoring.
Candidates will have the opportunity to apply their academic knowledge to real-world business challenges and develop practical expertise in the rapidly evolving AI and Machine Learning ecosystem.
The position also involves working with modern AI technologies such as Large Language Models (LLMs), Vision-Language Models (VLMs) and multimodal AI architectures.
Key Responsibilities
| Responsibility | Details |
|---|---|
| AI Development | Design, build and develop AI-powered systems. |
| Model Development | Build and fine-tune machine learning and AI models. |
| LLM Development | Work with systems powered by Large Language Models. |
| VLM & Multimodal AI | Work with Vision-Language Models and multimodal architectures. |
| Data Preparation | Participate in data collection, cleaning and preparation. |
| Model Deployment | Deploy AI models and contribute to production implementation. |
| Monitoring | Monitor deployed models and AI systems. |
| GenAI Pipelines | Develop end-to-end Generative AI pipelines. |
| AI Products | Contribute throughout the lifecycle of software and AI products. |
| Business Solutions | Apply AI knowledge to real-world business challenges. |
Required Educational Qualification
Candidates should have a B.Tech or Master’s degree in a relevant field.
Relevant areas mentioned in the job description include:
- Computer Science Engineering
- Information Technology
- Electronics & Communication
- Artificial Intelligence
- Machine Learning
- Deep Learning
The position is intended for recent graduates/freshers.
Required Skills
Python Programming
Candidates should have demonstrated hands-on experience with Python.
Knowledge of Python libraries such as the following is expected:
- NumPy
- Pandas
- Numba
- Scikit-learn
Strong programming fundamentals will be useful for developing and implementing AI/ML solutions.
Core Computer Science Concepts
Candidates should have a solid understanding of:
| Area | Expected Knowledge |
|---|---|
| Operating Systems | Fundamental concepts |
| DBMS | Database management fundamentals |
| Data Structures | Fundamental data structures |
| Algorithms | Data Structures and Algorithms |
| SQL | Basic querying and data manipulation |
AIML Knowledge
Candidates should have a strong theoretical understanding of important Artificial Intelligence and Machine Learning concepts.
The required knowledge areas include:
- Machine Learning algorithms
- Deep Learning
- Generative AI
- Large Language Models
- Statistical modeling
- Probabilistic modeling
- Data engineering
- Data visualization
Understanding how these technologies are applied to real-world problems will be beneficial for the role.
Preferred Skills
The following skills are listed as value-adds for candidates applying for the position.
Generative AI Frameworks
Hands-on experience with modern GenAI frameworks and tools is preferred, including:
- LangChain
- LangGraph
- LlamaIndex
- LangServe
- ADK
- NeMo
- Copilots
- Agent SDK
- OpenAI Assistants
Deep Learning Frameworks
Candidates familiar with at least one major deep learning framework can have an advantage.
Examples include:
- TensorFlow
- PyTorch
- Keras
The role also involves developing multimodal AI systems that can combine different types of information, including:
- Text
- Images
- Documents
- Audio
- Structured data
Generative AI Skills
Practical knowledge of Generative AI concepts is preferred.
Candidates with experience in the following areas can have an advantage:
- Prompt engineering
- Retrieval-Augmented Generation (RAG)
- Model fine-tuning
- Agentic workflows
- AI agents
- GenAI pipelines
- Data ingestion
- Embeddings
- Retrieval
- Model inference
- Feedback loops
Candidates should be able to understand how different components can be connected to build an end-to-end Generative AI solution.
Git and GitHub
Knowledge of Git and GitHub is preferred for collaborative software development.
Candidates may use version control tools to manage code, collaborate with team members and maintain project versions.
Cloud and MLOps Exposure
Awareness of cloud computing platforms is also preferred.
Candidates with exposure to:
- AWS
- Microsoft Azure
- Google Cloud Platform (GCP)
- Cloud-based ML services
- MLOps
- LLMOps
can have an additional advantage.
Project and Practical Experience
Although this is a fresher opportunity, practical exposure can strengthen a candidate’s profile.
Relevant experience can include:
- Academic AIML projects
- AI/ML internships
- Generative AI projects
- Machine Learning projects
- Kaggle competitions
- Data Science projects
- Deep Learning projects
Candidates should be able to demonstrate how they have applied AIML concepts in practical projects.
Eligibility Criteria
Candidates interested in the Campus – Advanced Beginner AIML Developer opportunity should have:
- A B.Tech or Master’s degree in a relevant field
- Background in CSE, IT, EC, AI, ML or DL
- Strong Python programming skills
- Knowledge of NumPy, Pandas, Numba and Scikit-learn
- Understanding of Operating Systems and DBMS
- Knowledge of Data Structures and Algorithms
- Basic SQL knowledge
- Strong understanding of Machine Learning and Deep Learning
- Knowledge of Generative AI and LLM concepts
- Understanding of statistics and probability
- Good data engineering and visualization knowledge
Why Should Freshers Apply?
This opportunity can be suitable for fresh graduates who want to start their career in the AI and Machine Learning domain.
Candidates can gain exposure to modern technologies including:
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Generative AI
- Large Language Models
- Vision-Language Models
- Multimodal AI
- RAG
- AI Agents
- MLOps and LLMOps
The role also provides an opportunity to work on real-world software and AI products rather than limiting learning to academic projects.
Job Location
Location: Noida, Uttar Pradesh, India
The provided job description does not specify the exact office address or work mode.
Salary Details
The salary or CTC is not specified in the provided job description.
Candidates should check the official application page or recruitment communication for the latest compensation details.
How to Apply?
Interested candidates who meet the eligibility requirements can apply for the Campus – Advanced Beginner / Fresher AIML Developer position.
Before applying, candidates should ensure that they have the required educational background, Python programming skills and fundamental knowledge of AI/ML concepts.
Job Role: Fresher AIML Developer
Job Level: Campus – Advanced Beginner
Location: Noida, Uttar Pradesh
Experience: Freshers
Final Conclusion
The Campus – Advanced Beginner AIML Developer Hiring 2026 is an opportunity for recent graduates who want to begin their careers in Artificial Intelligence, Machine Learning and Generative AI.
Candidates with a B.Tech or Master’s degree in CSE, IT, EC, AI, ML or Deep Learning and strong Python knowledge can consider applying. The role covers AI product development from data preparation to model development, deployment and monitoring.
Knowledge of LLMs, VLMs, multimodal AI, RAG, prompt engineering, LangChain, PyTorch/TensorFlow, Git, cloud platforms and MLOps can further strengthen a candidate’s profile.
