AI Analyst - Dallas, TX
About The Position
We are seeking a highly motivated AI Analyst to join our growing team. The ideal candidate will be responsible for analyzing business requirements, identifying AI/ML opportunities, evaluating data quality, and supporting the development and deployment of AI-powered solutions. This role requires strong analytical skills, data-driven decision-making, and a solid understanding of artificial intelligence, machine learning, and modern data technologies. The AI Analyst will work closely with business stakeholders, data scientists, engineers, and product teams to translate business challenges into AI-driven solutions that improve efficiency, customer experience, and business outcomes.
Requirements
- Strong understanding of Artificial Intelligence, Machine Learning, and Generative AI concepts.
- Knowledge of supervised and unsupervised learning techniques.
- Familiarity with NLP (Natural Language Processing), LLMs, and AI-powered applications.
- Experience evaluating AI model outputs and performance metrics.
- Strong analytical and problem-solving skills.
- Experience working with structured and unstructured datasets.
- Ability to identify trends, anomalies, and business insights from data.
- Experience in data visualization and reporting.
- Proficiency in SQL for data extraction and analysis.
- Working knowledge of Python for data analysis and AI-related tasks.
- Experience with tools such as Power BI, Tableau, or similar visualization platforms.
- Understanding of data warehouses, databases, and ETL processes.
- Experience with ChatGPT, Copilot, Azure OpenAI, or other Generative AI platforms.
- Understanding of prompt engineering techniques.
- Familiarity with Retrieval-Augmented Generation (RAG) concepts.
- Knowledge of AI governance, responsible AI, and model evaluation practices.
Nice To Haves
- Familiarity with Azure AI, Azure OpenAI, AWS AI Services, or Google Vertex AI is preferred.
- Experience with Prompt Engineering.
- Knowledge of Python libraries such as Pandas, NumPy, Scikit-learn.
- Experience with LLMs, Vector Databases, and RAG architectures.
- Familiarity with MLOps concepts and model monitoring.
- Exposure to AI-powered automation tools and chatbots.
Responsibilities
- Analyze business processes and identify opportunities for AI and automation initiatives.
- Gather, document, and translate business requirements into AI/ML use cases.
- Work with large datasets to identify trends, patterns, and actionable insights.
- Collaborate with Data Scientists and Machine Learning Engineers to develop AI models and solutions.
- Evaluate model performance and provide recommendations for improvement.
- Perform data validation, cleansing, and quality assessments.
- Create dashboards, reports, and visualizations to communicate findings to stakeholders.
- Monitor AI solution effectiveness and track key performance metrics.
- Conduct research on emerging AI technologies, tools, and industry trends.
- Support AI governance, compliance, and ethical AI practices.
Benefits
- Medical, vision, and dental benefits
- 401k retirement plan
- variable pay/incentives
- paid time off
- paid holidays
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
