
Data Pipeline Developer
3 days ago
We are seeking an experienced AI/ML specialist to develop and optimize data pipelines using Python, Pandas, and Scikit-learn.
Main Responsibilities:
- Develop and optimize data pipelines using Python, Pandas, and Scikit-learn.
- Support prompt engineering initiatives for LLM-based applications.
- Conduct model evaluation and testing, ensuring accuracy, reliability, and performance.
- Work with Vector Databases (e.g., Pinecone, FAISS) for embedding storage and retrieval.
Secondary Responsibilities:
- Assist in fine-tuning small and domain-specific models for production use.
- Write automation scripts for data preparation, cleaning, and feature engineering.
- Collaborate with product and engineering teams to enable API integrations for ML services.
Requirements:
- Strong programming skills in Python with hands-on experience in Pandas and Scikit-learn.
- Basic knowledge of prompt engineering for LLMs.
- Understanding of model evaluation metrics and testing techniques.
- Exposure to Vector Databases (Pinecone, FAISS, or similar).
Desirable Skills:
- Experience with fine-tuning smaller ML or LLM models.
- Familiarity with REST APIs / GraphQL and integrating ML models into production workflows.
- Knowledge of data preprocessing pipelines and automation scripts.
Soft Skills:
- Strong problem-solving and analytical mindset.
- Ability to work in a collaborative environment with cross-functional teams.
- Curiosity to explore and learn new AI/ML tools and frameworks.
About This Opportunity
This cutting-edge technology company values innovation, teamwork, and continuous learning. It offers a dynamic work environment that fosters growth and collaboration.
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