Senior AI/ML Engineer

Title: Senior AI/ML Engineer Total Experience: 10+ Must Contract: W2 Long Term Job Description As an AI / ML Engineer, you will work closely with data scientists, software engineers, risk / business stakeholders, compliance, and operations teams to translate business problems into scalable, secure, and high-performance AI systems in line with regulatory and operational constraints. Key Responsibilities • Collaborate with business stakeholders (e.g. credit risk, fraud, marketing, operations) to identify opportunities for AI/ML solutions and define problem statements • Translate data science prototypes/algorithms into production-ready applications • Design, build, and deploy ML pipelines (data ingestion, feature engineering, model training, validation, serving, monitoring, retraining) • Implement models for classification, regression, anomaly detection, time-series forecasting, NLP, computer vision (if applicable) • Optimize model performance (accuracy, latency, throughput, resource usage) • Ensure models are explainable, auditable, and fair (bias detection, feature attribution) • Monitor model drift, performance degradation, and trigger retraining when needed • Build robust infrastructure and tooling (e.g. CI/CD for ML, versioning, model registries, logging, alerting) • Work with data engineering teams to ensure data pipelines are reliable, clean, well-governed • Ensure security, privacy, and compliance (data encryption, anonymization, data access controls, regulatory constraints) • Document model architecture, assumptions, limits, validation results, and provide explanations to non-technical stakeholders • Stay current with advances in AI/ML, frameworks, regulatory requirements specific to financial services