Software Engineer

Job Description

Title: Software Engineer

Company Name: NeuroGen Healthcare Limited

Vacancy: 01

Age: Na

Job Location: Dhaka

Salary: Tk. 25000 (Monthly)

Experience:

Published: 2025-10-29

Application Deadline: 2025-11-28

Education:

• Bachelor of Science (BSc) in Computer Science

• Bachelor`s Degree in Computer Science, Engineering, or a related field.

• Proven experience in natural language processing (NLP), deep learning, and neural network model development.

• Hands-on experience with large language models (LLMs), transformers, and prompt engineering.

• Proficiency in Python and its ML libraries (e.g., PyTorch, TensorFlow, Hugging Face, Scikit-learn).

• Strong proficiency in Java programming with experience in Spring Boot, Spring Data, Spring Security, and Spring Web, and MySQL.

• Solid understanding of machine learning pipelines, data preprocessing, and model evaluation.

• Strong problem-solving skills and ability to work collaboratively in a team environment.

Job Description

We are seeking a talented NLP and Neural Network Engineer to join our team. The ideal candidate will have a strong background in natural language processing, deep learning, and large language models (LLMs), with a passion for developing cutting-edge solutions in the field of artificial intelligence.

Responsibilities

• Research, design, and implement advanced NLP and deep learning models, including transformer-based architectures and large language models (LLMs) such as GPT, BERT, or T5.

• Develop, fine-tune, and train neural network models for tasks such as text classification, sentiment analysis, named entity recognition, question answering, summarization, and machine translation.

• Work with frameworks such as PyTorch, TensorFlow, and Hugging Face Transformers to build, optimize, and deploy NLP pipelines.

• Collaborate with cross-functional teams to integrate AI and LLM-powered solutions into production environments.

• Participate in the design, implementation, testing, and deployment phases of software development.

• Monitor system and model performance after deployment, addressing issues and performing retraining or optimization when necessary.

• Stay updated with the latest trends and advancements in deep learning, LLMs, and AI technologies, as well as Java and Python ecosystems.