Responsibilities

• 1. Data Cleaning, Curation & Pipeline Development
• Clean, normalize, and validate unstructured or messy data to ensure high quality inputs for analytics and AI models.
• Write and optimize DAX queries to programmatically extract and aggregate tabular data directly from Power BI reports and datasets.
• Write performant SQL queries, stored procedures, and schema migrations across both PostgreSQL and SQL Server (SSMS).
• Build, automate, and monitor reliable data pipelines (ETL/ELT) using Python and Azure cloud services.
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• 2. AI, GenAI & Model Performance Optimization
• Assist in developing and maintaining AI/GenAI workflows (RAG pipelines, prompt templates, vector search integrations with Azure OpenAI).
• Profile and optimize inference speed and resource usage for Machine Learning and GenAI systems:
• Implement caching, prompt token reduction, and smart chunking strategies to minimize LLM latency and API bills.
• Apply model optimization techniques (such as ONNX runtime conversion, quantization, batching, and GPU/CPU profiling).
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• Track and monitor model accuracy, latency, and throughput in staging and production.
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• 3. Statistical Analysis & Validation
• Apply fundamental statistical concepts (summary statistics, distributions, hypothesis testing, data sampling, regression) to audit data distributions and evaluate model outputs.
• Identify anomalies, outliers, and data drift across pipeline stages.
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• 4. Version Control & CI/CD
• Maintain clean, documented code and participate in peer code reviews using Git and GitHub.
• Work with automated build and deployment pipelines (GitHub Actions or Azure DevOps).

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Qualifications
• Required Qualifications & Technical Skills
• Experience: 2 to 4 years of hands-on experience in data engineering, analytics engineering, or applied machine learning.
• Databases & Querying:
• Solid working proficiency in both PostgreSQL and SQL Server Management Studio (SSMS), including writing complex joins, indexing,

📌 AI and Data Engineer (Ahmedabad)
🏢 Paperchase Accountancy (GDC)
📍 Ahmedabad