Artificial Intelligence Engineer

Lumina Datamatics; Puducherry; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Lumina Datamatics Inc. is seeking an experienced AI Engineer to join our IT/AI & Machine Learning department. The role requires 3–6 years of hands-on AI/ML experience and a strong ability to develop AI modules and train models.

The ideal candidate will train and fine-tune models, evaluate performance, work with NLP, LLMs, and frameworks like LangChain or LlamaIndex, and contribute to AI-driven solutions across business use cases. Strong communication and training capabilities are essential.

Qualifications

• Hands-on AI development experience with ML/DL models.
• Experience in training and fine-tuning AI/ML models.
• Ability to deliver technical training and create modules.

Responsibilities

• Design, develop, and implement AI/ML models and applications.
• Develop AI modules for specific business requirements and use cases.
• Train, fine-tune, and optimize machine learning and Large Language Models (LLMs).
• Prepare datasets, perform data preprocessing, and ensure data quality for model training.
• Work with Generative AI, NLP, LLMs, and frameworks such as LangChain or LlamaIndex.
• Evaluate model performance using appropriate benchmarks and evaluation techniques.
• Develop and integrate AI solutions using Python, APIs, and relevant AI frameworks.
• Troubleshoot, debug, and optimize AI models and applications.
• Conduct module-based training sessions on AI/ML concepts, tools, and practical applications.
• Prepare training materials, technical documentation, and hands-on exercises.
• Stay updated with emerging AI technologies, tools, and industry trends.

Skills

Python

Machine Learning

Deep Learning

Generative AI

LLMs

NLP

Prompt Engineering

TensorFlow

PyTorch

Scikit-learn

REST APIs

Training delivery

Tools

LangChain

LlamaIndex

OpenAI

Hugging Face

Job description

Job Description AI Engineer

Experience: 36 Years
Employment Type: Full-Time
Department: IT / AI & Machine Learning

Job Summary

We are looking for an experienced AI Engineer with 3–6 years of hands-on experience in Artificial Intelligence, Machine Learning, and Generative AI. The ideal candidate should have practical experience in developing AI modules, training and fine-tuning models, evaluating model performance, and implementing AI-driven solutions.

The candidate should also have experience in conducting module-based training sessions and explaining AI concepts and applications to technical teams or learners.

Key Responsibilities

• Design, develop, and implement AI/ML models and applications.
• Develop AI modules for specific business requirements and use cases.
• Train, fine-tune, and optimize machine learning and Large Language Models (LLMs).
• Prepare datasets, perform data preprocessing, and ensure data quality for model training.
• Work with Generative AI, NLP, LLMs, and frameworks such as LangChain or LlamaIndex.
• Evaluate model performance using appropriate benchmarks and evaluation techniques.
• Develop and integrate AI solutions using Python, APIs, and relevant AI frameworks.
• Troubleshoot, debug, and optimize AI models and applications.
• Conduct module-based training sessions on AI/ML concepts, tools, and practical applications.
• Prepare training materials, technical documentation, and hands-on exercises.
• Stay updated with emerging AI technologies, tools, and industry trends.

Required Skills

• Strong programming knowledge in Python.
• Hands-on experience in Machine Learning and Deep Learning.
• Knowledge of Generative AI, LLMs, NLP, and Prompt Engineering.
• Experience with model training, fine-tuning, and evaluation.
• Knowledge of TensorFlow, PyTorch, or Scikit-learn.
• Experience in dataset preparation and model optimization.
• Knowledge of REST APIs and AI integration.
• Good communication and presentation skills.
• Experience in delivering technical training or conducting structured learning modules.

Preferred Skills

• Experience with OpenAI, Hugging Face, Gemini, or similar AI platforms.
• Knowledge of RAG (Retrieval-Augmented Generation), vector databases, and embeddings.
• Experience deploying AI models using cloud platforms.
• Experience developing structured AI training modules and hands-on workshops.

Candidate Expectations

• Must have practical, hands-on AI development experience.
• Should have experience in training and fine-tuning AI/ML models, not just API integration.
• Should be capable of independently developing AI modules and delivering technical training.
• Strong problem-solving, analytical, and communication skills.