- Apply mathematics and statistics to design and validate AI models.
- Build, train, and optimize machine learning (ML) and deep learning (DL) models.
- Develop solutions in computer vision (CV) and natural language processing (NLP).
- Work with Large Language Models (LLMs), including fine-tuning and custom training.
- Implement Retrieval-Augmented Generation (RAG) pipelines for real-world applications.
- Design and deploy LLM-powered agents using frameworks like LangChain, LangGraph, and CrewAI.
- Apply prompt engineering techniques for optimizing LLM outputs.
- Manage and integrate vector databases (FAISS, Pinecone, Weaviate) for retrieval tasks.
- Build scalable MLOps pipelines with MLflow and Docker.
- Set up and maintain CI/CD workflows for ML model deployment.
- Deploy AI solutions on cloud platforms (AWS, Azure).
- Monitor, evaluate, and retrain models to ensure performance and reliability.
- Drive POCs and innovation projects to validate new AI approaches.
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.
- 4+ years of hands-on experience in AI/ML engineering.
- Strong foundation in mathematics, statistics, and algorithms.
- Proficiency with ML/DL frameworks (PyTorch, TensorFlow, Scikit-learn).
- Experience with NLP, computer vision, and Large Language Models (LLMs).
- Knowledge of MLOps tools (MLflow, Docker) and CI/CD.
- Cloud deployment experience with AWS or Azure.
- Strong problem-solving skills and the ability to work in a multidisciplinary team.
Preferred Qualifications:
- Experience with LLM fine-tuning including quantization and LoRA techniques.
- Data science and visualization skills with NumPy, Pandas, Matplotlib.
- Familiarity with Model Context Protocol (MCP).
- Familiarity with reinforcement learning concepts and evolutionary algorithms (genetic algorithms).
- Solid knowledge of SQL and PostgreSQL.
- Knowledge of Hugging Face, OpenAI APIs, and vector databases (FAISS, Pinecone, Weaviate).
- Backend development experience with FastAPI, Flask, or Django.
What We Offer:
- Opportunity to work on cutting-edge AI-driven automation in the construction and AEC industry.
- Competitive salary and benefits package.
- Collaborative and innovative work environment.
- Professional development and career growth opportunities.