Job Title
Job Overview
Requirement/Must Have:
- Master's or PhD in Computer Science, Data Science, Machine Learning, AI, or related field.
- 8+ years of hands-on experience building and deploying machine learning models in production.
- Proven expertise with LLMs, transformer architectures, transfer learning, and model fine-tuning.
- Strong proficiency in Python, PyTorch or TensorFlow, and ML libraries such as Transformers.
- Experience with cloud ML platforms, containerization (Docker/Kubernetes), and MLOps tools.
- Solid understanding of statistical modeling, optimization, and evaluation methodologies.
- Strong communication skills and ability to collaborate in cross-functional, fast-paced environments.
Responsibilities:
- Design, build, and optimize Generative AI, LLM, and multimodal foundation models for enterprise fintech applications.
- Fine-tune or adapt open-source and proprietary models.
- Build high-performance models for NLP, document intelligence, anomaly detection, risk scoring, predictive analytics, and decisioning use cases.
- Lead experimentation to evaluate model accuracy, scalability, and fairness.
- Partner with engineering teams to deploy models on cloud-based ML pipelines (Azure, AWS) & data platforms (Databricks & Snowflake).
- Work with large-scale structured and unstructured datasets across the payments and financial ecosystem.
- Implement model monitoring, drift detection, and continuous retraining strategies.
- Evaluate and operationalize new AI technologies, foundation model architectures, responsible AI frameworks, and emerging research.
- Drive POCs and innovation initiatives that enhance AI capabilities and differentiate our products.
Nice to Have:
- Experience working in fintech, payments, banking, or fraud/risk environments.
- Background in vector databases, RAG pipelines, and knowledge graph integration.
- Experience with data privacy, model governance, and Responsible AI frameworks.
- Contributions to open-source AI/ML communities or research publications.
Senior Data Scientist in Remote at Unknown Company
This position is listed as full time and onsite.