AI/ML TRAINEE ENGINEERS Opportunity 2025 | Avasoft is hiring AI/ML TRAINEE ENGINEERS The working location is Nevalur , India. Interested candidates can apply online as soon as possible. The detailed eligibility and application process are given below.
AI/ML TRAINEE ENGINEERS Job Openings At Avasoft | IND- Overview
| Company Name: | Avasoft |
| Job Role: | AI/ML TRAINEE ENGINEERS |
| Location: | Nevalur |
| Work Mode: | ON SITE |
| Last Date to Apply: | ASAP |
Job Description
- Avasoft is a leading company in digital transformation and a globally recognized Microsoft Managed Solutions Partner. With over 15 years of experience and 1,500+ technologists, we use advanced technologies to ensure maximum ROI for our clients’ technology platforms.
Skills Required:
- Technical Job Description
- 1. Database Management & SQL
- Strong grasp of relational database concepts and ER modeling.
- Proficient in writing efficient, scalable SQL queries aligned with business needs.
- 2. Python Programming
- Proficient in core Python: data types, control flow, functions, file handling, and exceptions.
- Skilled in code debugging, analysis, and performance tuning.
Responsibility
- Technical Job Description
- 1. Database Management & SQL
- Strong grasp of relational database concepts and ER modeling.
- Proficient in writing efficient, scalable SQL queries aligned with business needs.
- 2. Python Programming
- Proficient in core Python: data types, control flow, functions, file handling, and exceptions.
- Skilled in code debugging, analysis, and performance tuning.
- Preferred: Object-Oriented Programming (OOP) and design patterns.
- Preferred: Experience with Python API frameworks (Flask, FastAPI).
- 3. Artificial Intelligence & Machine Learning
- Solid understanding of AI concepts, including prompt engineering and RAG.
- Strong knowledge of ML pipelines: data preprocessing, model training, evaluation, and deployment.
- Preferred: Experience in image analysis, document intelligence, video analytics, and web scraping.
- Preferred: Familiarity with advanced AI techniques—model fine-tuning, distillation, and pretraining.
- 4. Cloud & Deployment (Preferred)
- Basic knowledge of deploying AI/ML applications on AWS or Azure.
