About Us
Worksprout is a private limited software export company based in Rajshahi, Bangladesh. We deliver high-quality software development services to international clients, primarily in the United States. Our mission is to create a supportive, growth-focused environment for our team while maintaining the highest standards of professionalism.
Position Overview
You will work on the full lifecycle of ML projects - data pipeline design, model training, production deployment on embedded hardware, and cloud APIs. You will build domain-specific AI solutions including RAG chatbots, agentic workflows with LangGraph, real-time anomaly detection systems, and NLP pipelines for real-world applications.
Key Responsibilities
-
Build domain-specific chatbots and RAG pipelines using LangChain / LangGraph
-
Develop agentic process automation workflows for real business processes
-
Implement real-life NLP pipelines for text classification, extraction, and generation
-
Build computer vision and image processing systems
-
Deploy ML models to edge hardware using TensorRT / ONNX Runtime / TFLite
-
Set up ELK / Grafana / Prometheus observability stacks for ML systems
-
Build DevOps and MLOps CI/CD pipelines with DVC, MLflow, and GitHub Actions
-
Implement anomaly detection systems (CPU spike monitoring, infrastructure health)
Required Skills & Expertise
-
3+ years of production ML engineering experience
-
Strong Python skills (PyTorch, scikit-learn, Hugging Face)
-
Experience with LLMs, RAG systems, or agentic AI frameworks
-
Familiarity with Docker, CI/CD, and production deployment
-
Understanding of edge inference optimisation (ONNX, TensorRT, TFLite)
Preferred / Nice-to-Have Skills
-
Experience with embedded Linux or IoT platforms
-
FastAPI or streaming ML pipeline experience
-
Open-source ML project contributions
Salary & Benefits
Salary:
Negotiable; based on skills and experience.
-
Competitive salary benchmarked to international rates
-
Work on cutting-edge embedded AI with real hardware
-
Hardware lab access for model testing
-
Dedicated learning budget
How to Apply
If you meet the requirements and are ready to advance your career with us, please send your resume and a cover letter to the email below with the subject line shown.
info@worksprout.us
— subject: “Machine Learning Engineer”
Apply Now