Full Time
/
Noida
/
HCLTech Hiring AI Fresher Graduates | Campus – Advanced Beginner | Noida
HCLTech Hiring AI Fresher Graduates | Campus – Advanced Beginner | Noida
Full Time
/
Noida
/

HCLTech is looking for enthusiastic AI Fresher Graduates who are passionate about Artificial Intelligence, Machine Learning, and data-driven problem-solving. As an AI Engineer trainee, selected candidates will work alongside experienced data scientists and engineers to design, develop, and deploy AI models for practical applications.
Job Details
Company: HCLTech
Official Job Title: Campus – Advanced Beginner
Role: AI Engineer Trainee
Job ID: 152844
Location: Noida, Uttar Pradesh, India
Experience: Fresher
Employment Type: Not Specified
Work Model: Not Specified
Job Category: Campus – Advanced Beginner
About the Role
As an AI Engineer trainee, you will contribute to AI and machine learning projects while working with experienced data scientists and engineers. The role involves developing machine learning and deep learning models, preparing data, evaluating models, and supporting the integration of AI solutions into practical applications.
You will also have opportunities to stay updated with developments in AI, NLP, computer vision, and other relevant areas.
Key Responsibilities
Assist in designing and implementing machine learning and deep learning models.
Perform data preprocessing, cleaning, and feature engineering.
Participate in model training, evaluation, and hyperparameter tuning.
Collaborate with software engineers to integrate AI models into applications.
Stay updated with the latest research and trends in AI, NLP, computer vision, and other relevant fields.
Document project workflows, results, and insights effectively.
Support cross-functional teams in AI-driven decision-making projects.
Eligibility Criteria
Candidates should be AI Fresher Graduates.
Basic understanding of Python, R, or Java.
Knowledge of statistics, linear algebra, probability, and algorithms.
Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
Exposure to data visualization tools such as Matplotlib, Seaborn, or Power BI is a plus.
Required Technical Skills
Python, R, or Java
Machine Learning
Deep Learning
TensorFlow
PyTorch
Scikit-learn
Statistics
Linear Algebra
Probability
Algorithms
Data Preprocessing
Feature Engineering
Model Training and Evaluation
Soft Skills
Analytical and problem-solving mindset
Good communication skills
Teamwork
Curiosity and enthusiasm for AI research
Interest in real-world AI applications
Who Should Apply?
This opportunity is suitable for AI Fresher Graduates who:
Are interested in Artificial Intelligence and Machine Learning.
Have a basic programming foundation in Python, R, or Java.
Understand fundamental concepts of statistics, probability, linear algebra, and algorithms.
Want to work on practical AI applications.
Are interested in areas such as NLP, computer vision, and data-driven problem-solving.
Have a strong analytical and collaborative mindset.
Career Opportunities in This Role
The role provides exposure to:
Machine Learning and Deep Learning
AI model development
Data preprocessing and feature engineering
Model training and evaluation
NLP and Computer Vision
AI application integration
AI-driven decision-making
Practical AI projects
Job Location
Noida, Uttar Pradesh, India
The job posting does not specify whether the position is remote, hybrid, or work-from-office.
How to Apply
Interested and eligible candidates can apply through the official HCLTech careers portal.
Apply Here: https://careers.hcltech.com/job/Campus-Advanced-Beginner/152844-en_US
Frequently Asked Questions (FAQs)
1. What is the official job title at HCLTech?
The official job title is Campus – Advanced Beginner.
2. What role is described in this job?
The role is described as an AI Engineer trainee.
3. Where is this HCLTech job located?
The position is based in Noida, Uttar Pradesh, India.
4. Is this opportunity for freshers?
Yes. The job description specifically seeks AI Fresher Graduates.
5. Which programming languages are mentioned?
The job requires a basic understanding of Python, R, or Java.
6. Which machine learning frameworks are mentioned?
The job description mentions TensorFlow, PyTorch, and scikit-learn.
7. What technical subjects should candidates know?
Candidates should have knowledge of statistics, linear algebra, probability, and algorithms.
8. Is knowledge of data visualization required?
Exposure to data visualization tools such as Matplotlib, Seaborn, and Power BI is mentioned as a plus.
9. What areas of AI are mentioned in the role?
The job description mentions Artificial Intelligence, Machine Learning, Deep Learning, NLP, and Computer Vision.
10. Where can candidates apply?
Candidates can apply through the official HCLTech careers application page for Job ID 152844.
Disclaimer
This job listing is shared for informational purposes only based on publicly available information. upGrad is not affiliated with, authorized by, endorsed by, or acting on behalf of the hiring company and has no role or control over its recruitment or selection process.
Applicants must verify the opportunity and apply only through the hiring company’s official channels. upGrad does not guarantee the authenticity, availability, selection, employment, or outcome of the opportunity. Applicants proceed entirely at their own discretion and risk.


HCLTech is looking for enthusiastic AI Fresher Graduates who are passionate about Artificial Intelligence, Machine Learning, and data-driven problem-solving. As an AI Engineer trainee, selected candidates will work alongside experienced data scientists and engineers to design, develop, and deploy AI models for practical applications.
Job Details
Company: HCLTech
Official Job Title: Campus – Advanced Beginner
Role: AI Engineer Trainee
Job ID: 152844
Location: Noida, Uttar Pradesh, India
Experience: Fresher
Employment Type: Not Specified
Work Model: Not Specified
Job Category: Campus – Advanced Beginner
About the Role
As an AI Engineer trainee, you will contribute to AI and machine learning projects while working with experienced data scientists and engineers. The role involves developing machine learning and deep learning models, preparing data, evaluating models, and supporting the integration of AI solutions into practical applications.
You will also have opportunities to stay updated with developments in AI, NLP, computer vision, and other relevant areas.
Key Responsibilities
Assist in designing and implementing machine learning and deep learning models.
Perform data preprocessing, cleaning, and feature engineering.
Participate in model training, evaluation, and hyperparameter tuning.
Collaborate with software engineers to integrate AI models into applications.
Stay updated with the latest research and trends in AI, NLP, computer vision, and other relevant fields.
Document project workflows, results, and insights effectively.
Support cross-functional teams in AI-driven decision-making projects.
Eligibility Criteria
Candidates should be AI Fresher Graduates.
Basic understanding of Python, R, or Java.
Knowledge of statistics, linear algebra, probability, and algorithms.
Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
Exposure to data visualization tools such as Matplotlib, Seaborn, or Power BI is a plus.
Required Technical Skills
Python, R, or Java
Machine Learning
Deep Learning
TensorFlow
PyTorch
Scikit-learn
Statistics
Linear Algebra
Probability
Algorithms
Data Preprocessing
Feature Engineering
Model Training and Evaluation
Soft Skills
Analytical and problem-solving mindset
Good communication skills
Teamwork
Curiosity and enthusiasm for AI research
Interest in real-world AI applications
Who Should Apply?
This opportunity is suitable for AI Fresher Graduates who:
Are interested in Artificial Intelligence and Machine Learning.
Have a basic programming foundation in Python, R, or Java.
Understand fundamental concepts of statistics, probability, linear algebra, and algorithms.
Want to work on practical AI applications.
Are interested in areas such as NLP, computer vision, and data-driven problem-solving.
Have a strong analytical and collaborative mindset.
Career Opportunities in This Role
The role provides exposure to:
Machine Learning and Deep Learning
AI model development
Data preprocessing and feature engineering
Model training and evaluation
NLP and Computer Vision
AI application integration
AI-driven decision-making
Practical AI projects
Job Location
Noida, Uttar Pradesh, India
The job posting does not specify whether the position is remote, hybrid, or work-from-office.
How to Apply
Interested and eligible candidates can apply through the official HCLTech careers portal.
Apply Here: https://careers.hcltech.com/job/Campus-Advanced-Beginner/152844-en_US
Frequently Asked Questions (FAQs)
1. What is the official job title at HCLTech?
The official job title is Campus – Advanced Beginner.
2. What role is described in this job?
The role is described as an AI Engineer trainee.
3. Where is this HCLTech job located?
The position is based in Noida, Uttar Pradesh, India.
4. Is this opportunity for freshers?
Yes. The job description specifically seeks AI Fresher Graduates.
5. Which programming languages are mentioned?
The job requires a basic understanding of Python, R, or Java.
6. Which machine learning frameworks are mentioned?
The job description mentions TensorFlow, PyTorch, and scikit-learn.
7. What technical subjects should candidates know?
Candidates should have knowledge of statistics, linear algebra, probability, and algorithms.
8. Is knowledge of data visualization required?
Exposure to data visualization tools such as Matplotlib, Seaborn, and Power BI is mentioned as a plus.
9. What areas of AI are mentioned in the role?
The job description mentions Artificial Intelligence, Machine Learning, Deep Learning, NLP, and Computer Vision.
10. Where can candidates apply?
Candidates can apply through the official HCLTech careers application page for Job ID 152844.
Disclaimer
This job listing is shared for informational purposes only based on publicly available information. upGrad is not affiliated with, authorized by, endorsed by, or acting on behalf of the hiring company and has no role or control over its recruitment or selection process.
Applicants must verify the opportunity and apply only through the hiring company’s official channels. upGrad does not guarantee the authenticity, availability, selection, employment, or outcome of the opportunity. Applicants proceed entirely at their own discretion and risk.

