Lead Data Scientist
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-10-10
Listing for:
Remote Jobs
Full Time
position Listed on 2026-10-10
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Python
Job Description & How to Apply Below
- 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 Lang Chain and Lang Graph.
- 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, Num Py, 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.
- 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, Num Py, 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.
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