AI Engineer

What You ‘ll Do You will join our high performance Data & AI team and play a key role in designing, developing, deploying, and maintaining enterprise-grade Artificial Intelligence solutions that drive business innovation, intelligent automation, and digital transformation. Design, develop, train, and deploy AI and Machine Learning models to solve real-world business problems. Build intelligent AI solutions including: Predictive Analytics Classification Models Recommendation Systems Intelligent Automation Decision Support Systems Apply supervised and unsupervised machine learning techniques based on business requirements. Evaluate, validate, and optimize AI models to improve accuracy, robustness, scalability, and business value. Work with structured and unstructured datasets to prepare data for AI model training, validation, and inference. Design and optimize data pipelines supporting AI and machine learning workflows. Perform feature engineering, data transformation, cleansing, and validation activities. Utilize Python, SQL, NumPy, Pandas, and related libraries to process and analyze large-scale datasets. Deploy AI models using REST APIs, microservices, and cloud-native deployment architectures. Develop scalable model-serving APIs using Flask, FastAPI, or similar frameworks. Utilize Docker and CI/CD pipelines to enable automated, secure, and repeatable AI deployments. Ensure deployed AI solutions meet enterprise standards for scalability, reliability, performance, security, and maintainability. Monitor model performance, prediction quality, model drift, data quality, and retraining requirements. Troubleshoot production issues related to AI models, inference services, APIs, and data pipelines. Document AI models, technical designs, assumptions, experiments, and deployment procedures. Apply Responsible AI principles including fairness, explainability, bias mitigation, governance, and ethical AI practices. Collaborate with Product Managers, Data Engineers, Software Engineers, Data Scientists, and Business Stakeholders to deliver enterprise AI solutions. Translate complex business requirements into scalable AI-driven applications and intelligent automation solutions. Participate in Agile ceremonies, architecture discussions, code reviews, and continuous improvement initiatives. Stay updated with emerging technologies in Artificial Intelligence, Machine Learning, Generative AI, and Cloud Computing. What We Seek In You 3+ years of experience in Artificial Intelligence, Machine Learning, Applied AI, or AI Engineering. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline. Strong programming expertise in: Python (Mandatory) SQL Exposure to Java, C++, or Scala is an added advantage. Strong understanding of: Supervised Learning Unsupervised Learning Feature Engineering Model Evaluation Model Validation Predictive Analytics Hands-on…