Role overview
We are looking for an AI/ML Engineer with strong Python and scripting expertise to design, build, and deploy intelligent systems. This role involves working across machine learning pipelines, large language models (LLMs), data processing workflows, and production AI systems.
Responsibilities
- Build GenAI applications using LLMs and transformer-based architectures
- Design and implement data preprocessing and feature engineering pipelines
- Fine-tune and evaluate models using real-world datasets
- Develop APIs and backend integrations for AI services
- Write automation scripts for experimentation and pipeline orchestration
- Optimize models for performance, scalability, and cost
- Monitor model performance and maintain production systems
- Strong proficiency in Python
- Experience with ML frameworks (PyTorch, TensorFlow, or similar)
- Experience working with LLMs and transformer architectures
- Solid understanding of ML fundamentals (supervised, unsupervised, evaluation metrics)
- Experience building data pipelines for training and inference
- Experience with scripting and automation
- Familiarity with REST APIs and backend integration
Preferred qualifications
- Experience with fine-tuning LLMs or building RAG systems
- Experience with distributed training or large-scale model deployment
- Experience with cloud platforms (AWS / GCP / Azure)
- Familiarity with vector databases and embedding pipelines
- Knowledge of MLOps practices and CI/CD for ML
- Experience with experimentation tracking tools
Tags & focus areas
Used for matching and alerts on DevFound Contract Ai Ai Engineer Machine Learning Pytorch Tensorflow Generative Ai