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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Applied AI Engineer - Data Science & Analytics - **Company:** Intezra, Inc. - **Location:** Columbia, MD, United States - **Experience:** Expert - **Salary:** $200,000.0 - $250,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Big Data, Cluster Analysis, Data Visualization, Elasticsearch, Python (Programming Language), Machine Learning, NumPy, Standard Sql, Software Engineering, Unstructured Data, Feature Engineering, Large Language Models, Multi-Agent Systems, Apache Spark, Pandas, Scikit Learn, Data Management - **Published:** August 2, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=0671eaf6544399de ## About the Role 12+ years with a Bachelor's degree, OR 10+ years with a Master's degree, OR 4 additional years of relevant experience in lieu of a degree, Experience developing production software using Python. Experience with data science, machine learning, or statistical analysis. Experience using libraries such as Pandas, NumPy, Scikit-learn, or similar. Experience building AI or machine learning applications. Strong analytical and problem-solving skills. Experience working with SQL, Elasticsearch, or similar data platforms. Nice to Haves Experience with LLMs, RAG, or agent frameworks (LangChain, LlamaIndex, etc.). Experience with big-data tools (Spark, DuckDB, Polars). Experience with visualization tools and dashboarding. Experience deploying AI models in production environments. Prior experience mentoring or leading small teams. ## Description Join a fast-moving AI team focused on delivering high-impact AI capabilities that enable analysts and operators to make better, faster decisions. As a Senior Applied AI Engineer specializing in Data Science & Analytics, you'll develop AI-enabled analytical tools that transform large and complex datasets into actionable insights. You'll work directly with customers to understand analytical challenges, identify opportunities for AI and machine learning, and rapidly prototype capabilities that solve real operational problems. This team emphasizes customer collaboration, rapid iteration, and practical AI solutions over lengthy development cycles. Ideal for an engineer who enjoys combining data science, machine learning, and software engineering to create real impact. Responsibilities Design and develop AI-enabled analytics applications using Python and modern software engineering practices. Perform exploratory data analysis, feature engineering, statistical analysis, and machine learning on operational datasets. Develop pattern-of-life, anomaly detection, clustering, and predictive analytics capabilities. Build retrieval-augmented generation (RAG) and LLM-powered workflows that enhance analytical processes. Collaborate directly with customers to understand datasets and develop AI-driven analytical solutions. Integrate structured and unstructured data into scalable AI applications. Evaluate emerging AI and machine learning techniques for real-world applicability. Mentor junior engineers and contribute to technical direction across the team. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Vectorize all the things! 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