Envision Technology Solutions
Data Scientist
Contract · In Office · Washington, District of Columbia (USA)
Posted Jul 22, 2026
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- Role Summary
- We are seeking a highly skilled Senior Data Scientist with expertise in Machine Learning, Artificial Intelligence, Large Language Models (LLMs), foundation models, and fine-tuning techniques. This position is ideal for someone who is passionate about building enterprise-grade AI & ML applications and applying cutting-edge techniques to real-world financial and payments challenges.
- Key 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.
- Required Qualifications
- 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.
- Preferred Qualifications
- 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.
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Data Scientist
Envision Technology Solutions
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