OVERVIEW

Intelligent Machines is looking for a Mid-Level Machine Learning Engineer to develop and deploy production-grade AI systems onsite. In this role, you'll work across Agentic RAG, Generative AI, and Computer Vision, driving the development of real-world applications of machine learning. From architecting microservices to managing MLOps infrastructure, you'll play a key role in scaling high-impact AI products and mentoring a growing engineering team.

RESPONSIBILITIES

Design and deploy Agentic Retrieval-Augmented Generation (RAG) systems using tools like LangChain and LangGraph
Develop AI-powered chatbots and agents that perform SQL generation, data analysis, and code writing using models like GPT-4o, Claude, or LLaMA
Build and fine-tune Computer Vision models for OCR, handwriting recognition, and object detection
Architect scalable microservices using AWS or Azure and manage Kubernetes clusters (EKS/AKS)
Set up CI/CD pipelines and data pipelines with GitHub Actions, Jenkins, and Apache Airflow
Implement model inference systems with FastAPI, Celery, RabbitMQ supporting batch and real-time needs
Deploy observability stacks for LLM and ML systems using Prometheus, Grafana, Langfuse, etc.
Lead mentoring initiatives, code reviews, and AI strategy planning with stakeholders

MUST-HAVES

Python
PyTorch
TensorFlow
Scikit-learn
Hugging Face
LangChain
Vector Databases
Prompt Engineering
Docker
Kubernetes
Helm
AWS
Azure
FastAPI
Django
Flask

SHOULD-HAVES

LangGraph
Celery
RabbitMQ
Apache Airflow
GitHub Actions
Jenkins
CloudWatch
Azure Monitor
Prometheus
Grafana

NICE-TO-HAVES

Claude
LLaMA
Langfuse
KEDA
Horizontal Pod Autoscalers
Cluster Autoscalers

COMPENSATION & BENEFITS

Tk 145K–150K per month (based on experience)
Festival bonus

OTHER DETAILS

Full-time
On-site in Dhaka

Summary

Job description

Required skills