Lead AI/ML Engineer

Job Description

Title: Lead AI/ML Engineer

Company Name: Next Solution Lab.

Vacancy: --

Age: Na

Job Location: Dhaka (DOHS Mirpur)

Salary: Tk. 120000 - 180000 (Monthly)

Experience:

• At least 5 years

• At least 5 years

• 5+ years of proven experience in AI/ML engineering, with leadership responsibilities.
• Strong communication skills in English to interact with international clients.
• Solid project management skills, including planning, execution, and delivery.
• Expertise in Conversational AI, ASR, TTS, LLMs, and multimodal systems.
• Hands-on experience in fine-tuning, optimization, quantization, and architecture modifications.
• Proficiency with LangChain, CrewAI, LangGraph, and multiple vector databases (e.g., Pinecone, Weaviate, Milvus, FAISS).
• Strong understanding of DevOps/MLOps practices with emphasis on AWS cloud services (EC2, S3, SageMaker, Lambda, etc.).
• Familiarity with Docker, Kubernetes, CI/CD pipelines, and model monitoring tools.
• Strong coding skills in Python with libraries/frameworks such as PyTorch, TensorFlow, Hugging Face, OpenAI APIs, etc.
• Ability to lead, mentor, and motivate a team of engineers.

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 highly skilled Lead AI/ML Engineer with strong technical expertise and leadership ability to drive AI initiatives from concept to production. The ideal candidate should have proven handson experience in designing, developing, and deploying AI solutions, managing projects end-to-end, and collaborating effectively with international clients.

This is a leadership position requiring strong project management, client communication, and technical depth across Conversational AI, ASR, TTS, LLMs, multimodal AI, and MLOps/DevOps practices.

Responsibilities:

• Lead AI/ML projects end-to-end, from problem definition to deployment and optimization.

• Collaborate with foreign clients, communicate project updates, and ensure timely delivery.

• Manage project teams, timelines, and resources effectively.

• Research, design, fine-tune, and optimize Conversational AI, ASR, TTS, LLMs, and multimodal AI systems.

• Work with LangChain, CrewAI, LangGraph, and vector databases for agentic and retrievalaugmented systems.

• Customize and optimize models through fine-tuning, network modification, and quantization techniques.

• Design scalable AI pipelines and integrate them with cloud services (AWS preferred).

• Apply DevOps and MLOps best practices for model training, deployment, and monitoring.

• Mentor junior engineers, provide technical guidance, and foster a collaborative team culture.

• 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.