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# Senior Data Scientist (GenAI)

- **Company:** PARENO KEVIN JEFFREY ROSAL
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Software Applications, Microsoft Azure, Cloud Computing, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Feature Engineering, Large Language Models, Prompt Engineering, Apache Spark, Deep Learning, Pyspark, Data Management, Databricks
- **Published:** August 26, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pfe1alqsrp

## About the Role

* Hands on experience with GenAI and Agentic applications;
 * Extensive hands-on experience in delivering AI driven products to production;
 * Experience in scaling and optimisation of AI applications;
 * Knowledge of machine learning algorithm and respective theory;
 * Knowledge of the Python machine learning ecosystem and solid software background in OOP;
 * Strong skills in teamwork, communication, and analytical thinking;
 * Fluency in English, both oral and written.

_Nice to have:

_

 * Experience with Big Data tools (Spark/PySpark) and cloud environment, ideally Azure / Databricks;
 * Previous experience in LLM fineturing;
 * Previous experience with LLM serving;
 * Knowledge of Deep learning.

## Description

As a GenAI Senior Data Scientist, you will be at the forefront of our AI developments, analyzing data, building Gen AI powered applications and/or agentic architectures. You will be responsible for selecting the right LLMs, performing prompt engineering and model fine-tuning to support our AI products. You will collaborate closely with cross-functional tech teams to deliver impactful, production-grade AI solutions. The ideal candidate has a deep understanding of LLMs and agentic architectures, along with proven experience building and deploying such applications in production environments., * Translate product requirements to AI problems and identify areas where AI can drive the most business impact;

 * Analyze data to uncover significant patterns and generate actionable insights;
 * Architect agentic and GenAI systems;
 * Select appropriate models for the right tasks and tune their performance;
 * Perform exploratory data analysis (EDA and feature engineering to support the modeling process;
 * Apply best practices on model selection, parameter tuning etc.;
 * Run comparative experiments for model training;
 * Analyze ML metrics to evaluate different potential solutions;
 * Manage the full lifecycle of AI features, from data collection to model design and to implementation and optimization in production;
 * Mentor and guide junior members, sharing knowledge and leading complex projects.


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