AI Engineer
Core
Develop and implement AI/ML models in production environments to extract real value from data and artificial intelligence for clients across sectors like logistics, government, healthcare, and finance.
Role type
Applied AI Engineer (Consulting)
Builds
Production AI solutions, data-driven insights, and intelligent systems for enterprise clients
Domain
Technology consulting, Data Science, Artificial Intelligence
Deliverable
production ML models
Required skills
Python programming, API development (FastAPI), prototyping (Streamlit), machine learning model development, model evaluation, NLP, forecasting, optimization, computer vision, cloud environment management (Azure/AWS/GCP), ML pipeline construction, Generative AI, prompt engineering, large language models, vector databases (FAISS, Pinecone, Azure AI Search), RAG pipelines
Preferred skills
Experience with scikit-learn, TensorFlow, Pytorch
Technologies
FastAPI, Streamlit, scikit-learn, TensorFlow, PyTorch, Azure, AWS, GCP, FAISS, Pinecone, Azure AI Search
Responsibilities
Develop and implement AI/ML models in production environments, build ML pipelines, work with cloud-based environments, apply Generative AI and LLMs, utilize vector databases for semantic search and RAG, explain complex technical concepts to non-technical stakeholders
Seniority
Mid-level, hands-on IC
