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 Responsibilities

• Architect, 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 & Qualifications

• Programming 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 Qualifications

• Experience 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).