AI Engineer - Advanced Analytics & AI

Job Overview

Responsibilities

• Work closely with business stakeholders to understand requirements and translate them into technical solutions.
• Design and develop scalable AI solutions including RAG, AI Agents, Generative AI, ML, Computer Vision, and multimodal applications.
• Develop Python applications, APIs, data pipelines, and AI/ML solutions.
• Perform EDA, data validation, cleansing, transformation, and quality checks.
• Develop statistical, predictive, machine-learning, and anomaly-detection models.
• Integrate and optimize AI models, LLMs, APIs, cloud AI services, and enterprise data platforms.
• Create dashboards, reports, and visualizations using Power BI and Qlik.
• Implement MLOps practices, including CI/CD, versioning, deployment, monitoring, logging, and alerting.
• Ensure solutions meet enterprise standards for architecture, security, governance, scalability, reliability, and performance.
• Support UAT, troubleshooting and continuous improvement.
• Handing over to solution delivery team for production and monitoring
• Document solution architecture, technical designs, data flows, experiments, and implementation approaches.