AI Engineer

Overview

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Responsibilities

• Conduct monthly fine-tuning of AI models based on customer usage and feedback.
• Continuously monitor AI outputs for accuracy, fairness, and safety alignment.
• Develop strategies for handling bias, hallucinations, and compliance issues in AI-generated results.
• Collaborate with engineers to integrate refined models into production environments.
• Perform weekly output refinement, including prompt engineering and embedding updates.
• Design and maintain workflows for AI pipelines and evaluation benchmarks.
• Ensure AI compliance with organizational, ethical, and regulatory standards (e.g., GDPR, SOC2, Responsible AI principles).
• Leverage and optimize Azure AI services (OpenAI, Cognitive Search, Document AI, Vector DB, etc.).
• Analyze datasets to extract insights, build predictive models, and support data-driven decision-making.
• Design and execute experiments (A/B testing, model evaluation, statistical validation) to improve AI reliability and performance.
• Design, manage, and optimize ETL pipelines for structured and unstructured data ingestion.
• Work with big data platforms and Azure Data Lakes to ensure scalable storage, processing, and retrieval.
  

Qualifications

• Strong background in Machine Learning, NLP, and Data Science.
• Hands-on experience with Azure AI services (OpenAI, Azure AI Search, Cognitive Search, Document AI).
• Proficient in Python for AI/ML development, automation, and data pipelines.
• Practical experience with spaCy, Pandas, NumPy, PyTorch, and advanced text analytics.
• Knowledge of embeddings, RAG pipelines, vector databases, and fine-tuning methodologies.
• Strong foundation in statistical modeling, A/B testing, and data visualization.
• Experience with ETL workflows, big data processing, and Azure Data Lakes.
• Familiarity with compliance frameworks and AI governance best practices.
• Strong analytical, problem-solving, and critical-thinking skills.
  

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