Avasoft hiring AI/ML Trainee Engineer

Avasoft is a leader in digital transformation and a globally recognized Microsoft Managed Solutions Partner. With over 15 years of expertise and a team of 1,500+ technologists, we deliver cutting-edge solutions to maximize ROI for our clients. Our commitment to innovation and understanding client challenges makes us a trusted partner in their digital transformation journeys.

Job Title: AI/ML Trainee Engineer
Location: Chennai, India
Type: Full-Time

Role Overview

We are seeking passionate AI/ML Trainee Engineers to join our dynamic team. This role is ideal for individuals with a strong foundation in programming, database management, and a keen interest in Artificial Intelligence and Machine Learning. As a trainee, you will work on real-world projects, gain exposure to advanced AI techniques, and contribute to impactful solutions.

Responsibilities

• Collaborate with cross-functional teams to develop AI/ML solutions.
• Design, implement, and optimize ML pipelines, including data preprocessing, model training, evaluation, and deployment.
• Write efficient and scalable SQL queries for business-driven database solutions.
• Develop and debug Python code, ensuring optimal performance and adherence to design patterns.
• Explore AI applications such as image analysis, document intelligence, video analytics, and web scraping.
• Contribute to deploying AI/ML applications on cloud platforms (AWS/Azure).

Required Skills

1. Database Management & SQL

• Strong understanding of relational database concepts and ER modeling.
• Proficiency in writing efficient, scalable SQL queries.

2. Python Programming

• Proficient in core Python: data types, control flow, functions, file handling, and exceptions.
• Skilled in debugging, analyzing, and performance tuning Python code.
• Preferred: Experience with OOP, design patterns, and frameworks like Flask or FastAPI.

3. Artificial Intelligence & Machine Learning

• Solid understanding of AI concepts, including prompt engineering and RAG.
• Knowledge of ML pipelines: data preprocessing, model training, evaluation, and deployment.
• Preferred: Experience in advanced AI applications such as image analysis, video analytics, and web scraping.
• Preferred: Familiarity with techniques like model fine-tuning, distillation, and pretraining.

4. Cloud & Deployment (Preferred)

• Basic knowledge of deploying AI/ML applications on AWS or Azure.

Education Requirements

Bachelor’s or Master’s degree in one of the following fields:

• Computer Science
• Information Technology
• Artificial Intelligence
• Data Science
• Software Engineering
• Or a related technical discipline

Strong academic foundation in database management, Python programming, and AI/ML concepts is essential.

Relevant coursework, certifications, or projects in AI/ML pipelines, data analysis, or cloud technologies is an added advantage.