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1 day ago
We are seeking an AI/ML Engineer to join our organization. As a key member of the team, you will be responsible for developing and optimizing data pipelines using Python, Pandas, and Scikit-learn.
Key Responsibilities
- Data Pipeline Development: Design, develop, and optimize data pipelines to ensure efficient data processing and analysis.
- Prompt Engineering: Support prompt engineering initiatives for LLM-based applications, ensuring accurate and effective model performance.
- Model Evaluation and Testing: Conduct thorough model evaluation and testing to guarantee accuracy, reliability, and performance of AI models.
- Vector Database Integration: Collaborate with Vector Databases (e.g., Pinecone, FAISS) for embedding storage and retrieval.
Required Skills and Qualifications
- Programming Skills: Strong programming skills in Python with hands-on experience in Pandas and Scikit-learn.
- Prompt Engineering Knowledge: Basic knowledge of prompt engineering for LLMs.
- Model Evaluation Metrics: Understanding of model evaluation metrics and testing techniques.
- Vector Database Exposure: Exposure to Vector Databases (Pinecone, FAISS, or similar).
Benefits
- Problem-Solving Mindset: Strong problem-solving and analytical mindset.
- Collaborative Environment: Ability to work in a collaborative environment with cross-functional teams.
- Curious Nature: Curiosity to explore and learn new AI/ML tools and frameworks.
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