Lead Data Scientist
# Lead Data Scientist **George Bernard Consulting** · Sri Lanka · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Data-Scientist]` `[Machine-Learning-Engineer]` `[AI-Engineer]` `[Python-Developer]` `[Senior-Data-Scientist-Lead]` `[Data-Science-Team-Lead]` --- ### About the Role - Develop and maintain scalable applications using Python, following best practices for clean, efficient, and maintainable code. - Build APIs and backend services using modern frameworks such as Flask, FastAPI, or Django. - Work with containerization and orchestration technologies to support deployment and scalability of applications. - Design, develop, and deploy GenAI and LLM-based solutions using frameworks such as LangChain and LangGraph. - Apply prompt engineering techniques and support LLM fine-tuning to optimize model performance. - Build and optimize data pipelines and perform data processing and transformation using tools like Pandas, NumPy, SQL, and ideally PySpark. - Translate business requirements into scalable, production-ready technical solutions. - Collaborate with cross-functional and offshore teams, including UK-based stakeholders, ensuring clear communication and alignment. - Manage multiple projects in a fast-paced environment while maintaining delivery quality and timelines. Requirements - Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related discipline. - Minimum 3+ years of experience in software engineering, data science, machine learning, or AI engineering roles. - Strong proficiency in Python with hands-on experience in backend development and API frameworks. - Experience in deploying GenAI/LLM applications in production environments. - Solid understanding of containerization, CI/CD pipelines, and modern deployment practices. - Experience working with cloud platforms, preferably Azure, along with Databricks exposure. - Strong skills in data manipulation and analysis using Pandas, NumPy, SQL, and PySpark (preferred). - Familiarity with distributed data processing frameworks such as Spark is an added advantage. - Excellent communication and collaboration skills, especially in distributed/offshore team environments. Originally posted on Himalayas
- Data-Scientist
- Machine-Learning-Engineer
- AI-Engineer
- Python-Developer
- Senior-Data-Scientist-Lead
- Data-Science-Team-Lead
- LLM-Engineer
- Data-Science-Engineer
- ML-Data-Scientist
- Data-Science-Specialist
- Data-Science
Наблюдалась 2026-10-03, впервые 2026-10-03, найдена на 2 площадках, источник — Himalayas (JSON API).