George Bernard Consulting
Lead Data Scientist
Lead Data Scientist working remotely from Sri Lanka, building Python backend services and APIs (Flask/FastAPI/Django) and deploying GenAI/LLM solutions with LangChain and LangGraph. Day-to-day involves data pipelines with Pandas, NumPy, SQL, and PySpark, containerization/CI-CD, and Azure/Databricks, while collaborating with UK-based offshore stakeholders.
- Compensation
- Not disclosed
- Location
- Sri Lanka
- Work setup
- Remote
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Data science
- Posted
Skills
Must have
- 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 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
- Excellent communication and collaboration skills, especially in distributed/offshore team environments
Nice to have
- Familiarity with distributed data processing frameworks such as Spark
Full description
- 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.