Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Cloud Computing, Computer Vision, Continuous Deployment/Delivery, Continuous Integration, Data Management, Data Processing, Data Quality, Data Sets, Deep Learning, DevOps, Docker, GCP (Good Clinical Practices), GitHub, Jenkins, Large-Scale Systems, Machine Learning, Mentoring, Microservices, Microsoft Windows Azure, Model Validation, Natural Language Processing (NLP), Predictive Modeling, SQL (Structured Query Language), System Architecture, Systems Scalability
Senior AI Engineer
Must Have Technical/Functional Skills
Seeking a highly skilled Senior AI Engineer to lead the design, development, and deployment of advanced AI/ML solutions. The ideal candidate has strong expertise in machine learning, deep learning, LLMs, and scalable AI system architecture, with the ability to mentor junior engineers and drive strategic AI initiatives.
Key Responsibilities
AI/ML Architecture & Development
" Lead development of sophisticated machine learning and deep learning models for NLP, computer vision, and predictive analytics.
" Architect and optimize LLM based and GenAI solutions, including fine-tuning, RAG pipelines, and custom model development.
" Drive feature engineering, experimentation, model tuning, and validation.
AI System Design & Deployment
" Build and maintain end to end AI pipelines from data ingestion to production deployment.
" Deploy large-scale AI systems on cloud platforms (Azure, AWS, or GCP) using Docker, Kubernetes, and serverless technologies.
" Implement scalable API endpoints and microservices for AI model consumption.
MLOps Strategy & Automation
" Implement modern MLOps practices model tracking, versioning, monitoring, drift detection, automated retraining.
" Own CI/CD pipelines for AI workloads using GitHub Actions, Azure DevOps, Jenkins, etc.
Data Engineering
" Work closely with data engineering teams to build high-quality data pipelines.
" Manage large datasets using Spark/Databricks, SQL, and data processing frameworks.