Senior AI/ML Engineer

We are seeking an experienced Senior AI/ML Engineer to design and deploy scalable AI/ML solutions focused on real-time personalization, recommendation systems, and customer knowledge graphs. The ideal candidate will have strong expertise in Python, graph modeling, and the complete machine learning lifecycle, with experience building enterprise-grade AI solutions that improve customer engagement and business outcomes. Key Responsibilities • Design and develop collaborative, content-based, and hybrid recommendation systems. • Build real-time personalization pipelines and ranking models. • Architect scalable end-to-end ML solutions for both batch and streaming environments with low-latency inference. • Develop customer knowledge graphs using Neo4j, Amazon Neptune, or similar graph databases. • Enable Customer 360 insights through graph-based data modeling and context-aware recommendations. • Build scalable data pipelines using Python, PySpark, Spark, and Kafka. • Perform feature engineering, model training, evaluation, deployment, and monitoring. • Implement MLOps best practices including CI/CD, model versioning, monitoring, and lifecycle management. • Conduct A/B testing and optimize models for CTR, engagement, and conversion. • Collaborate with product, business, and engineering teams to translate business requirements into AI/ML solutions. • Mentor junior engineers and contribute to technical leadership. Required Skills • Strong programming experience in Python with Pandas and PySpark. • Hands-on experience building Recommendation Systems (Collaborative Filtering, Content-Based, Hybrid Models, Matrix Factorization, Deep Learning, Ranking Models). • Strong knowledge of Graph Modeling and graph databases such as Neo4j or Amazon Neptune. • Experience with Entity Resolution and Record Linkage. • Solid understanding of the complete Machine Learning Lifecycle, including experimentation, evaluation, deployment, and monitoring. • Knowledge of ML evaluation metrics such as NDCG, MAP, Precision, and Recall. • Experience with distributed data processing using Spark and streaming platforms like Kafka. Nice to Have • Experience building real-time ML systems at large scale (TB/PB datasets). • Familiarity with Customer Data Platforms (CDP) and Customer 360 solutions. • Experience with MLOps frameworks and cloud-native AI platforms. ABOUT BRICKRED SYSTEMS BrickRed Systems is a global leader in next-generation technology consulting and workforce solutions, specializing in delivering high-quality talent across digital, engineering, marketing, analytics, finance, operations, and business transformation domains. With a strong emphasis on innovation, scalability, and client success, BrickRed Systems helps organizations solve complex business challenges by providing skilled professionals across strategy, technology, creative, and operational functions. BrickRed fosters a culture of continuous learning, collaboration, and excellence, enabling professionals to contribute to high-impact global initiatives while advancing their careers.