Hands-on senior AI role focused on designing, building, and deploying scalable AI systems for fintech use cases. The role partners closely with PE leadership and product teams to architect production-grade wealth management solutions with measurable business impact.
Key Responsibilities 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
SSkill: 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: advanced,aws,models,a/b testing,fintech,ml
