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.