Meg World Technologies Pvt. Ltd. is looking for a highly motivated AI/ML Engineer – Fresher who has the technical ability, curiosity, and problem-solving mindset of an experienced developer.
This is not a training-only position. The selected candidate will be expected to learn quickly, research independently, build working solutions, and take ownership of AI/ML projects.
The candidate will work on Artificial Intelligence, Machine Learning, Generative AI, LLMs, AI APIs, automation, data processing, computer vision, NLP, predictive systems, and AI-powered business applications.
The ideal candidate may be a fresher, but should demonstrate the ability to build real projects independently and figure out unfamiliar technologies when required.
Key Responsibilities
1. AI/ML Application Development
- Develop AI and machine learning solutions for real-world business requirements.
- Build AI-powered web and software applications.
- Integrate AI functionality into existing company products.
- Develop prototypes and convert successful prototypes into production applications.
- Research and implement appropriate AI/ML approaches for new requirements.
2. Generative AI & LLM Development
Work with technologies such as:
- OpenAI APIs
- Gemini APIs
- Claude APIs
- Open-source LLMs
- Hugging Face
- LangChain / LlamaIndex
- RAG systems
- Vector databases
- Embeddings
- AI agents
- Prompt engineering
- Function/tool calling
Responsibilities may include:
- Building AI chatbots.
- Developing AI assistants.
- Creating RAG-based applications.
- Connecting LLMs to company databases and applications.
- Building AI agents and automation workflows.
- Developing document/question-answering systems.
- Creating AI-powered business tools.
- Evaluating and improving AI responses.
3. Machine Learning
Work with:
- Supervised learning
- Unsupervised learning
- Classification
- Regression
- Clustering
- Recommendation systems
- Forecasting
- Anomaly detection
- Model evaluation
- Feature engineering
The candidate should be able to select appropriate ML approaches based on the problem rather than simply following tutorials.
4. Python Development
Strong working knowledge of Python is expected.
Work with libraries/frameworks such as:
- Python
- NumPy
- Pandas
- Scikit-learn
- PyTorch
- TensorFlow
- FastAPI
- Jupyter
The candidate should be capable of writing production-oriented Python code, not just notebook-based experiments.
5. Data Processing
- Collect and clean datasets.
- Perform data preprocessing.
- Handle missing and inconsistent data.
- Perform exploratory data analysis.
- Prepare datasets for ML models.
- Build data processing pipelines.
- Analyze model results and identify improvements.
6. NLP
Work on applications involving:
- Text classification
- Sentiment analysis
- Document processing
- Text extraction
- Summarization
- Question answering
- Search
- Chatbots
- Document intelligence
7. Computer Vision
Where required, work with:
- Image classification
- Object detection
- OCR
- Image processing
- Document scanning
- Face/object recognition
- Video analysis
Experience with OpenCV, YOLO, PyTorch, TensorFlow or similar technologies is an advantage.
8. AI API & Software Integration
Integrate AI capabilities into:
- Websites
- Mobile applications
- Web applications
- Business software
- POS systems
- CRM/ERP systems
- Internal company tools
- SaaS products
Build APIs using technologies such as:
- FastAPI
- Flask
- Node.js
- REST APIs
9. AI Agents & Automation
Research and build intelligent automation systems capable of:
- Calling external APIs.
- Processing documents.
- Retrieving information.
- Executing predefined actions.
- Connecting multiple software systems.
- Automating repetitive business workflows.
- Using tools/function calling where appropriate.
10. Model Deployment
Learn and implement:
- Model serving
- API deployment
- Docker
- Cloud deployment
- GPU environments
- Model optimization
- Monitoring
- Version management
Exposure to AWS, Azure, Google Cloud or equivalent platforms is an advantage.
11. Research & Problem Solving
This is a critical part of the role.
The candidate should be able to:
- Research unfamiliar technologies independently.
- Read technical documentation.
- Study GitHub repositories and implementation examples.
- Understand new AI models and frameworks.
- Experiment with multiple approaches.
- Identify why a solution is failing.
- Find and implement a practical solution.
- Learn new technologies quickly without requiring step-by-step training.
The candidate should be a self-learner.
Full-Stack AI Development
The candidate may also be required to connect AI systems with web applications.
Knowledge of:
- HTML
- CSS
- JavaScript
- React / Next.js
- Node.js
- APIs
- Databases
- Git/GitHub
will be a strong advantage.
The ideal candidate can build:
Frontend → Backend → Database → AI Model/API → Deployment
as a complete working product.
Required Technical SkillsMandatory
- Strong Python fundamentals.
- Strong programming and logical problem-solving skills.
- Understanding of Machine Learning fundamentals.
- Understanding of AI/LLM concepts.
- Experience with at least one real AI/ML project.
- Ability to work with APIs.
- Basic database knowledge.
- Git/GitHub knowledge.
- Ability to read technical documentation.
- Ability to independently research solutions.
Strong Advantage
- OpenAI API
- Gemini API
- Claude API
- Hugging Face
- LangChain
- LlamaIndex
- RAG
- Vector databases
- PyTorch
- TensorFlow
- Scikit-learn
- Pandas
- NumPy
- OpenCV
- YOLO
- FastAPI
- Docker
- AWS / Azure / Google Cloud
- React / Next.js
- PostgreSQL / MySQL / MongoDB
Qualifications
- B.E / B.Tech – Computer Science / AI & ML / Data Science / IT
- BCA / MCA
- B.Sc Computer Science / Data Science / AI
- Other relevant technical qualifications
Freshers are welcome.
Experience Requirement
Formal work experience is not mandatory.
However, the candidate should demonstrate experience-level practical capability through:
- Personal AI/ML projects
- College projects
- GitHub repositories
- Internships
- Freelance projects
- Research projects
- AI applications
- Machine learning models
- AI automation projects
- LLM/RAG applications
Important: Practical Ability Over Qualification
We are specifically looking for candidates who can build things, not candidates who only know AI/ML theory.
A candidate who can independently build a working AI application will be strongly preferred over a candidate with excellent academic marks but limited practical experience.
Problem-Solving Expectations
The candidate should be comfortable receiving a requirement such as:
"We need an AI system that can read uploaded documents, understand the information, answer questions, and integrate with our web application."
The candidate should be able to:
- Understand the requirement.
- Research suitable technologies.
- Design the solution.
- Build a prototype.
- Test the approach.
- Fix problems.
- Integrate it with the application.
- Deploy it.
- Improve it based on feedback.
They should not require someone to explain every technical step.
Key Performance Indicators (KPIs)
Performance will be evaluated based on:
- Ability to independently solve problems.
- Number and quality of working AI/ML projects.
- Development speed.
- Quality of implementation.
- Ability to research and learn new technologies.
- Model/application accuracy and performance.
- Successful API and software integrations.
- Bug fixing and troubleshooting ability.
- Code quality and documentation.
- Ability to convert requirements into working solutions.
- Innovation and experimentation.
- Project ownership.
Ideal Candidate
The ideal candidate is:
A fresher by experience, but an experienced thinker.
We are looking for someone who:
- Loves technology.
- Builds projects independently.
- Is curious about AI.
- Learns extremely fast.
- Can research without constant supervision.
- Can solve unfamiliar technical problems.
- Is comfortable experimenting.
- Can work under deadlines.
- Takes ownership.
- Is not afraid of difficult technical requirements.
- Can move from an idea to a working prototype.
- Wants to become a strong AI/ML engineer.
Most Important QualityWe are not looking for someone who knows everything. We are looking for someone who knows how to find, learn, build and solve anything.Career Growth
AI/ML Engineer – Fresher
↓
AI/ML Engineer
↓
Senior AI/ML Engineer
↓
AI/ML Technical Lead
↓
AI Product / Engineering Lead
Position Summary
Designation: AI/ML Engineer – Fresher
Experience: Fresher / 0–1 Year
Department: Artificial Intelligence / Software Development
Employment Type: Full-Time
Location: Chennai, Tamil Nadu
Primary Focus: AI, Machine Learning, Generative AI, LLMs, AI Agents, Automation, APIs, Data & AI-powered Software
Meg World Technologies Pvt. Ltd. is seeking a high-potential fresher who can grow into an independent AI/ML engineer capable of researching, developing, integrating, deploying, and maintaining AI-powered products.
Pay: ₹8,000.00 - ₹12,000.00 per month
Work Location: In person
