Data Scientist

About the role

Build enterprise-grade AI solutions for the fintech and payments industry.

Tasks

• Design, develop, and optimize Generative AI, LLM, and multimodal AI solutions.
• Fine-tune and adapt open-source and proprietary foundation models.
• Build ML models for NLP, document intelligence, fraud detection, risk scoring, predictive analytics, and decision-making.
• Deploy and scale ML solutions using Azure, AWS, Databricks, and Snowflake.
• Implement model monitoring, drift detection, and continuous retraining.
• Develop RAG pipelines and integrate vector databases and knowledge graphs.
• Drive AI/ML innovation, POCs, and responsible AI initiatives.

Requirements

• 8+ years of hands-on experience building and deploying production-grade ML models.
• Strong expertise in LLMs, transformer architectures, transfer learning, and fine-tuning.
• Proficiency in Python, PyTorch/TensorFlow, and Hugging Face Transformers.
• Experience with cloud ML platforms, Docker, Kubernetes, and MLOps.
• Strong understanding of statistical modeling, optimization, and model evaluation.
• Master’s or PhD in Computer Science, Data Science, AI/ML, or a related field.
• Preference: Local candidates or candidates in the EST time zone

Schedule

• 5 Days Onsite

How to apply

• DM me your updated resume or share your profile along with employer details.

Location

• Washington, DC