AI Engineer – Fintech

Role: Your Impact and Ownership Hands-on senior AI role focused on designing, building, and deploying scalable AI systems for fintech use cases.

partners closely with PE leadership and product teams to architect production-grade wealth management solutions with measurable business impact.

at this Role • Design real-time and batch AI models for fraud detection, credit scoring, and customer analytics • Build end-to-end ML pipelines from data ingestion to production deployment • Optimize model accuracy, latency, and scalability against defined business KPIs • Deploy production-grade AI systems with monitoring and version control • Collaborate with data, backend, and product teams for seamless integration • Evaluate models through A/B testing and continuous performance benchmarking Skill: The Expertise RequiredMust-Haves for this Role • Candidates from Fintech Product Development companies only. • Must have a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field from a top-tier institution (e.g., IITs, NITs, BITS, or globally recognized universities). • 7-9 years hands-on experience building and deploying AI/ML solutions in fintech or financial services • Advanced proficiency in Python for production-grade ML development • Hands-on experience with TensorFlow, PyTorch, scikit-learn, or XGBoost • Applied experience in NLP, time-series forecasting, anomaly detection, or graph ML • Strong understanding of MLOps including model versioning, deployment, and monitoring • Experience with cloud platforms AWS, GCP, or Azure for ML workloads Skills: a/b testing,advanced,analytics,data,fintech,models,ai,ml,aws