We have 2 Openings. We can go up to 75-80 for right candidate and seniors
Senior Data Scientist -12-17 years
2900 Westside Pkwy Alpharetta GA 30004- 3 days onsite
20406-1 //
Rate :: 75-85/hr on C2C
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.
In this role you will architect build and deploy advanced ML & AI solutions that power Fiservs next-generation products across payments fraud detection risk decisioning and financial data enrichment.
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 Fiservs AI capabilities and differentiate our products.
Required Qualifications
- Masters or PhD in Computer Science Data Science Machine Learning AI or related field.
- 5 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.
We have 2 Openings. We can go up to 75-80 for right candidate and seniors Senior Data Scientist -12-17 years 2900 Westside Pkwy Alpharetta GA 30004- 3 days onsite 20406-1 // Rate :: 75-85/hr on C2C Role Summary We are seeking a highly skilled Senior Data Scientist with expertise in Machine...
We have 2 Openings. We can go up to 75-80 for right candidate and seniors
Senior Data Scientist -12-17 years
2900 Westside Pkwy Alpharetta GA 30004- 3 days onsite
20406-1 //
Rate :: 75-85/hr on C2C
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.
In this role you will architect build and deploy advanced ML & AI solutions that power Fiservs next-generation products across payments fraud detection risk decisioning and financial data enrichment.
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 Fiservs AI capabilities and differentiate our products.
Required Qualifications
- Masters or PhD in Computer Science Data Science Machine Learning AI or related field.
- 5 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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