Artificial Intelligence Engineer

We are seeking an AI / Machine Learning Engineer to design, build, and deploy high-performance machine learning models and AI-driven applications. This role focuses on end-to-end model development, from data engineering and feature extraction to production deployment and MLOps tracking.Key ResponsibilitiesArchitect, train, and evaluate predictive models, NLP algorithms, or generative AI workflows to solve complex enterprise problems.Build, scale, and maintain automated data preprocessing pipelines and feature stores.Deploy machine learning models as scalable REST APIs into cloud production environments.Monitor model performance, track feature drift, and implement continuous retraining mechanisms.Collaborate with backend engineers and data teams to seamlessly integrate AI endpoints into core software products.Required Technical Skills & QualificationsProgramming Expertise: 4+ years of professional software engineering experience with mastery in Python (pandas, NumPy, scikit-learn).Deep Learning Frameworks: Hands-on experience with PyTorch or TensorFlow.Cloud & MLOps: Practical experience deploying models on AWS (SageMaker), Azure ML, or GCP, along with CI/CD automation tools.API & Microservices: Strong proficiency building RESTful services and microservices (FastAPI, Flask) for model inference.Data Engineering: Expert SQL skills and experience working with large-scale relational/non-relational data infrastructure.Preferred QualificationsExperience working with Large Language Models (LLMs), prompt engineering, or RAG (Retrieval-Augmented Generation) architectures.Familiarity with vector databases (Pinecone, Weaviate, Milvus) and orchestration frameworks (LangChain, LlamaIndex).