
Data Scientist
6 days ago
Location: Remote (Global)
Experience: 6–8 Years
Employment Type: Full-time
Notice Period: Immediate to 15 Days
About the RoleWe are seeking an experienced data scientist to join our advanced analytics team. The ideal candidate will design, develop, and deploy predictive models at scale, working with large datasets and leveraging modern machine learning frameworks.
Key Responsibilities- Design, build, and deploy scalable models for real-world applications using Python.
- Develop and optimize end-to-end pipelines using PySpark and MLflow.
- Process structured and unstructured data with Pandas, NumPy, and other libraries.
- Train, evaluate, and fine-tune models using scikit-learn, TensorFlow, or PyTorch.
- Collaborate with data engineers, product managers, and software developers to drive business outcomes.
- Strong programming expertise in Python.
- Solid understanding of machine learning algorithms and model evaluation techniques.
- Experience with PySpark for big data processing.
- Proficiency with MLflow for model lifecycle management.
- Strong hands-on experience with Pandas, NumPy, Scikit-learn.
- Familiarity with Large Language Models (LLMs) (e.g., OpenAI GPT, Hugging Face Transformers).
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