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# AI Engineer

- **Company:** SDLC Partners, L.P.
- **Location:** Brooklyn Park, MD, United States
- **Salary:** $62,400.0 - $83,200.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Data Analysis, Bash Shell, Big Data, Extract Transform Load (ETL), Data Mining, Data Systems, Database Design, R (Programming Language), Apache Hadoop, Python (Programming Language), Linked Data, Unix Shell, Machine Learning, Language Modeling, Natural Language Processing, Systems Development Life Cycle, Cloud Services, Tensorflow, SAS (Software), SQL Databases, Talend, Apache Spark, Model Validation, Generative AI, Statistics Packages, Vba Programming Language, Data Analytics, Performance Monitor, Looker Analytics, Data Pipelines, Unsupervised Learning
- **Published:** October 27, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b4caba86995439e1

## About the Role

* Core: Python, SQL, machine learning, model training, model evaluation, machine learning frameworks, and AI models.
 * Data and analytics: Database design, ETL, big data, Hadoop, Spark, AWS, Talend, Looker, analytics, and statistical analysis tools.
 * Additional programming: Java, C, R, SAS, VBA, and Bash (Unix shell); experience with TensorFlow is useful.
 * Applied AI: AI, AI implementation, machine learning/AI-based analysis, statistical analysis, predictive modeling analysis, and machine learning cloud services.
 * Preferred areas: Generative AI, natural language processing, linked data, and quantum engineering; familiarity with scalable data systems is an advantage
 * Company -SDLC
 * US CITIZEN PREFERRED
 * IMMEDIATE HIRING .

## Description

Hiring 5+ AI Engineer, you'll build, evaluate, and deploy machine learning solutions that turn complex data into useful insights and products. You'll work across data pipelines, statistical analysis, and AI implementation, selecting practical tools and methods to support reliable, scalable systems. Your impact: By developing and evaluating predictive and language models, you'll help teams make better-informed decisions and deliver more useful data-driven services., * Prepare and transform data using ETL (extract, transform, load), SQL databases, data mining, and big data systems.

 * Train and evaluate machine learning models, including unsupervised learning, predictive modeling, and natural language processing.
 * Deploy AI models and machine learning cloud services; monitor performance, scalability, and reliability.
 * Apply statistical modeling, statistical analysis for research, and data analytics to guide model development.
 * Collaborate on Spark implementation, linked data, and generative AI projects, documenting methods and results.