
Data Driven AI Developer
4 days ago
The role of an AI engineer involves developing and optimizing data pipelines using Python, Pandas, and Scikit-learn. It also requires supporting prompt engineering initiatives for LLM-based applications.
Key Responsibilities:- Developing and optimizing data pipelines using Python, Pandas, and Scikit-learn.
- Supporting prompt engineering initiatives for LLM-based applications.
- Conducting model evaluation and testing to ensure accuracy, reliability, and performance.
- 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 such as Pinecone and FAISS.
- 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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Data-Driven Healthcare Solutions Expert
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Data Driven Solutions Specialist
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AI Developer
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AI Data Engineer Leader
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AI Data Architect
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