Job details
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AI & Data Analyst (NLP & Generative AI Analytics)
- Build and optimize ETL pipelines for large-scale AI applications, integrating APIs, web scraping, and real-time data processing.
- Develop and maintain scalable AI data infrastructure using PySpark, Pandas, SQL, and cloud services (Azure, AWS, GCP).
- Implement retrieval-augmented generation (RAG) pipelines using FAISS, ChromaDB, and Pinecone for AI-driven insights.
- Deploy and monitor AI applications using FastAPI, Streamlit, Docker, for real-time performance.
- Work with cross-functional teams to ensure data security, compliance, and AI model reliability in production environments.
- Bachelor's or Master's degree in Computer Science, Data Engineering, Artificial Intelligence, or a related field.
- Atleast 2-4 years of experience in data engineering, AI/ML, or cloud-based AI infrastructure.
- Expertise in Python, PySpark, and SQL for data transformation and large-scale processing.
- Experience with cloud platforms (AWS, Azure, GCP) for AI model deployment and data pipeline automation.
- Hands-on experience with vector databases (FAISS, ChromaDB, Pinecone) for efficient data retrieval.
- Proficiency in containerization and orchestration tools like Docker and Kubernetes.
- Strong understanding of retrieval-augmented generation (RAG) and real-time AI model deployment.
- Knowledge of API development and AI service integration using FastAPI and Streamlit/Dash.
- Ability to optimize AI-driven automation processes and ensure model efficiency.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
Average salary estimate
$100000
/ YEARLY (est.)
min
max
$80000K
$120000K
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
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Full-time, remote
DATE POSTED
March 11, 2025
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