AI/ML Engineer

Job Description

Title: AI/ML Engineer

Company Name: Next Solution Lab.

Vacancy: --

Age: Na

Job Location: Dhaka (DOHS Mirpur)

Salary: Tk. 60000 - 70000 (Monthly)

Experience:

• 2 to 3 years

• 2 to 3 years

• 2+ years of experience in AI/ML engineering or research.
• Strong understanding of deep learning architectures (CNNs, Transformers, Diffusion models).
• Hands-on experience in LLM training, fine-tuning, and multimodal AI systems.
• Knowledge of LangChain, CrewAI, LangGraph, and vector databases (Pinecone, Weaviate, FAISS, etc.).
• Basic understanding in cloud-based AI training.
• Solid foundation in Python with frameworks such as PyTorch, TensorFlow, Hugging Face, etc.
• Familiarity with DevOps/MLOps concepts (Docker, CI/CD pipelines, model serving, monitoring).
• Strong problem-solving skills, curiosity, and eagerness to learn advanced AI techniques.

About Next Solution Lab

Next Solution Lab is a forward-thinking technology company dedicated to delivering cutting-edge AI, software, and digital transformation solutions. We work across diverse domains including Natural Language Processing (NLP), Large Language Models (LLMs), Computer Vision, and applied Machine Learning, driving innovation for clients worldwide.

Role Overview

We are seeking a passionate AI/ML Engineer with strong experience in applied AI and a solid foundation in deep learning research and development. The candidate should be able to understand complex network architectures, fine-tune and optimize LLMs and multimodal models, and contribute to training large-scale models in the cloud. This role offers the opportunity to work on innovative AI systems, collaborate with senior engineers, and gain hands-on experience in advanced AI domains.

Responsibilities:

• Understand, analyze, and extend deep learning architectures for AI applications.

• Train, fine-tune, and optimize LLMs, multimodal, and generative AI models.

• Contribute to research and experimentation with diffusion-based models.

• Work with frameworks such as LangChain, CrewAI, LangGraph, and multiple vector databases.

• Implement optimization techniques including fine-tuning, quantization, and architecture modifications.

• Deploy and train models in cloud environments (AWS preferred).

• Collaborate with senior engineers and project leads on end-to-end AI solutions.

• Follow DevOps/MLOps practices for model deployment, monitoring, and scaling.

• Document experiments, results, and contribute to continuous improvement.

• Two festival bonuses.

• Annual performance bonus.

• Annual increment.

• Annual paid leaves.

• Annual company picnic depending on project performance.

• Overtime allowance for working on public holidays.

• Semi-formal dress code, well-structured and joyful environment.

• In-house & external domain-specific training.

• 2 days weekly holiday (Saturday & Sunday).

• Semi-subsidized lunch.