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Mid-level role at a recognized global firm in a metro with broad technical requirements increases competition moderately.
AI and LLM evaluation skills transfer across industries, but enterprise Sales/Marketing data domain knowledge raises specificity.
Explicit years plus mandatory Python, Databricks, PySpark, cloud and AI evaluation skills make screening stringent.
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Evaluate generative AI applications including LLMs and AI agents for accuracy, relevance, and business value, developing evaluation methodologies and performance metrics.
Assess and prepare enterprise Sales and Marketing data for AI readiness by improving data quality, governance, structure, and accessibility to support AI-enabled solutions.
Develop dashboards, reporting, and analytical models using Python, SQL, Databricks, and Power BI, partnering with business and technical stakeholders to translate requirements into AI solutions.
Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Systems, or related quantitative field with 4+ years of relevant experience, OR Master's degree with 2+ years of experience.
Strong proficiency in Python, SQL, Databricks, and PySpark.
Experience evaluating AI, machine learning, or advanced analytics solutions and preparing enterprise data for AI use cases.
Experience with cloud platforms such as Azure or AWS.
Experienced in evaluating LLMs and AI agents with ability to develop AI evaluation frameworks and success metrics.
Skilled in working with Sales, Marketing, CRM, or customer engagement data within enterprise environments.
Capable of bridging business and technical teams to deliver scalable AI-enabled data products that improve decision-making and business outcomes.