onsite
Data Scientist - Yolk Recruitment
Data Scientist
Hands‑on Data Scientist developing scalable machine‑learning and LLM‑powered solutions for compliance, risk and contractor analytics, collaborating with AI, data and DevOps teams on AWS and Azure cloud platforms.
About the role
Key Responsibilities
- Design, develop, and productionize predictive models and LLM‑based applications for compliance, risk management, and contractor analytics.
- Collaborate with AI Engineers, Data Engineers, and DevOps to integrate models into cloud‑native pipelines on AWS and Azure.
- Perform data extraction, cleaning, feature engineering, and exploratory analysis on large, heterogeneous datasets.
- Monitor model performance, implement drift detection, and continuously improve model accuracy and efficiency.
- Document methodologies, create reproducible codebases, and contribute to best‑practice guidelines for AI/ML deployment.
Requirements
- Strong proficiency in Python and its ML ecosystem (e.g., scikit‑learn, PyTorch, TensorFlow).
- Hands‑on experience building, deploying, and scaling models on AWS and/or Azure services.
- Familiarity with Large Language Models, prompt engineering, and retrieval‑augmented generation techniques.
- Solid understanding of data engineering concepts, including ETL pipelines, data warehousing, and SQL/NoSQL databases.
- Ability to work cross‑functionally in an agile environment and communicate technical concepts to non‑technical stakeholders.
Skills
pythonmachine learningawsazure