AI/ML Engineer

1 day ago

India Datamatics Business Solutions Ltd Full time ₹ 15,00,000 - ₹ 25,00,000 per year

IT Support and Technology

Full Time

India

Jobs

AI/ML Engineer

Seeking an experienced AI/ML Engineer specializing in NLP and LLMs to develop innovative AI solutions, with focus on document processing, conversational AI, and RAG systems. The role combines modern AI/ML engineering practices with practical business applications.

Key Responsibilities:

Design and develop applications using NLP and LLM technologies for various business needs

Create intelligent document processing systems using NLP techniques

Implement conversational AI solutions and chatbots

Implement and optimize prompt engineering techniques for accurate query generation

Create language understanding and semantic search applications

Monitor and evaluate model performance and accuracy

Design and implement RAG architectures for various business applications

Fine-tune language models based on specific application requirements, adapting them to the company's domain, data, and user needs

Work closely with data scientists, product managers, and software engineers to understand application requirements, translate them into actionable development tasks, and deliver robust NLP-based applications

Stay up to date on the latest in NLP and LLM advancements, conducting experiments to evaluate the feasibility and potential impact of new techniques on applications

Qualifications:

Bachelor's or Master's degree in Computer Science, Data Science, or a related field

Strong foundation in machine learning, deep learning, and NLP concepts

Experience with NLP frameworks and tools (NLTK, spaCy, Hugging Face Transformers)

Experience with large language models (LLMs) and their applications

Hands-on experience deploying LLMs in production environments

Familiarity with data preprocessing, model training, and fine-tuning techniques

Strong coding skills in Python and proficiency in using RESTful APIs

Experience working with cloud platforms such as AWS, for deploying and scaling machine learning models

Familiarity with vector databases, semantic search, or similar NLP-enhanced database technologies

Knowledge of reinforcement learning for NLP applications

Experience building production RAG systems

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