AVASOFT is inviting applications from fresh graduates for the roles of Trainee Engineer and AI/ML Trainee Engineer as part of its Off Campus Drive 2025. Candidates with a Bachelor’s or Master’s degree are eligible to apply. The positions are based in Tamil Nadu, and offer a competitive salary of ₹4.9 LPA. Detailed eligibility criteria and application information are provided below.
Drive Overview
- Company: AVASOFT
- Official Website: www.avasoft.com
- Job Roles: Trainee Engineer & AI/ML Trainee Engineer
- Qualification: Bachelor’s or Master’s Degree
- Experience: Freshers
- Batch: 2025
- Location: Tamil Nadu
- Salary: ₹4.9 LPA
Trainee Engineer – Job Description
AVASOFT is seeking candidates who:
- Exhibit an attitude of curiosity, openness, and willingness to learn.
- Combine both skepticism and faith—a mindset that is highly valued within AVASOFT’s performance culture.
- Possess strong verbal and written communication skills in English.
- Demonstrate humility and inclusiveness, with the courage to ask questions and seek clarity.
- Have a basic technical foundation and a natural inclination toward problem-solving.
AI/ML Trainee Engineer – Technical Requirements
1. Database Management & SQL
- Strong understanding of relational databases and ER modeling.
- Skilled in writing efficient, scalable SQL queries tailored to business needs.
2. Python Programming
- Proficient in core Python: data types, control structures, functions, file handling, and exceptions.
- Able to debug code and optimize performance.
- Preferred: Experience in OOP, design patterns, and Python frameworks like Flask or FastAPI.
3. Artificial Intelligence & Machine Learning
- Solid understanding of AI concepts including prompt engineering and Retrieval-Augmented Generation (RAG).
- Well-versed in the end-to-end ML pipeline: data preprocessing, model training, evaluation, and deployment.
- Preferred: Hands-on experience in image processing, document intelligence, video analytics, and web scraping.
- Preferred: Familiarity with advanced AI concepts like model fine-tuning, distillation, and pretraining.
4. Cloud & Deployment (Preferred)
- Basic knowledge of deploying AI/ML applications using AWS or Azure cloud services.
How to Apply?
Interested and eligible candidates can apply online using the following links:
- Apply for Trainee Engineer: Click here to apply