
AI Model Optimization Specialist
3 days ago
We are seeking a highly skilled Machine Learning Engineer to join our team. The ideal candidate will have a strong background in developing and optimizing data pipelines using Python, Pandas, and Scikit-learn.
The successful candidate will be responsible for supporting prompt engineering initiatives for LLM-based applications, conducting model evaluation and testing, ensuring accuracy, reliability, and performance, and working with Vector Databases (e.g., Pinecone, FAISS) for embedding storage and retrieval.
Core 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.
- 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.
- 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).
- 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.
- 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.
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