Data Scientist, Applied AI - Remote
Core
Design, train, validate, and productionize advanced machine learning and deep learning models, including Generative AI and LLMs, for scalable data pipelines and services.
Role type
Senior Machine Learning Engineer / Data Scientist (Applied AI)
Builds
Production-grade ML/DL models, LLM-driven applications, RAG pipelines, and scalable data engineering workflows.
Domain
Generative AI, Large Language Models, Big Data Analytics
Deliverable
production ML models
Required skills
Python, PyTorch, CNNs, Transformers, LLM fine-tuning, RAG pipelines, vector databases, Docker, Kubernetes, CI/CD, Spark, Airflow, drift detection, unit testing
Preferred skills
Experience with LLMOps practices, knowledge of SOLID principles, familiarity with PlantUML
Technologies
PyTorch, Python, Spark, Airflow, Docker, Kubernetes, JIRA, PlantUML
Responsibilities
Design and implement deep learning solutions (CNNs, Transformers); Develop and fine-tune Large Language Models (LLMs) and build LLM-driven applications; Implement Retrieval-Augmented Generation (RAG) pipelines; Build robust pipelines to deploy models at scale; Ingest, clean, and transform large datasets; Automate training and serving workflows; Monitor model performance and implement drift detection strategies.
Seniority
Senior, hands-on IC