Jobs → Engineering → AI/ML Engineer

About the Role We are seeking a hands-on AI/ML Engineer to design, build, deploy, and operate enterprise-grade AI/ML and GenAI solutions that improve automation, decisioning, and processing at scale. This role requires building and training fit-for-purpose models in a controlled financial-services environment. Key Responsibilities • Own end-to-end delivery of production AI/ML solutions, from problem framing through deployment and retraining • Build, train, and validate models using supervised, unsupervised, NLP, retrieval, document intelligence, computer vision, and GenAI techniques • Establish rigorous evaluation, explainability, bias assessment, and model governance practices • Implement MLOps for versioning, CI/CD, deployment, observability, and drift detection • Develop secure APIs and integration patterns, partnering with architecture and engineering teams • Take prototypes to scalable production and produce clear documentation Requirements • Bachelor's or advanced degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field • 8+ years in software engineering, data science, or ML, including at least one complete AI/ML lifecycle • Strong foundation in statistics, probability, linear algebra, optimization, and model evaluation • Hands-on model development in Python with standard ML libraries • Experience with NLP, embeddings, RAG, LLMs, VLMs, or document intelligence • Solid grasp of data preparation, feature engineering, class imbalance, leakage prevention, and tuning • Experience with MLOps, containerization, model registries, and secure REST APIs • Ability to work within financial-services constraints around privacy, model risk, explainability, and auditability • Proven mentoring ability and strong communication skills in Agile teams