Senior Data Scientist

Envision Technology Solutions; Georgia; In loco; USD 140.000 - 190.000; Tempo pieno

Descrizione del lavoro

Envision Technology Solutions seeks a Senior Data Scientist with deep ML/AI, LLMs, and fintech experience. You will design, fine-tune, and deploy foundation models to solve complex payments challenges, collaborating with cross-functional teams to translate research into production systems.

You will lead experiments, optimize models for accuracy and fairness, manage cloud pipelines (Azure/AWS), and integrate data platforms.

Competenze

• Master's or PhD in Computer Science, Data Science, ML, AI, or related field.
• 8+ years of hands-on experience building and deploying ML 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.

Mansioni

• 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 NLP, document AI, anomaly detection, risk scoring, and predictive analytics.
• Lead experiments to evaluate model accuracy, scalability, and fairness; deploy ML pipelines on cloud platforms.
• Work with large-scale structured and unstructured data across payments and financial ecosystems.
• Implement monitoring, drift detection, and retraining; evaluate new AI technologies and governing frameworks.
• Drive POCs and innovation to differentiate products.

Conoscenze

LLM expertise

Transformer architectures

Communication skills

Cross-functional collaboration

Formazione

Master's or PhD in Computer Science, Data Science, ML, AI, or related field

Strumenti

Python

PyTorch

TensorFlow

Transformers library

Azure

AWS

Databricks

Snowflake

Docker

Kubernetes

MLOps tools

Descrizione del lavoro

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.