AI Engineer - Senior

MXI LLC is hiring a Senior AI Engineer in Austin, TX (onsite) to lead the development and deployment of AI solutions built for business insights and operational excellence. In this role, you will work across scalable machine learning, natural language processing, generative AI, and statistical modeling, leveraging cloud-based machine learning services to turn large datasets into production-ready capabilities.

Responsibilities

• Design, develop, and optimize AI models using frameworks such as TensorFlow, Spark MLlib, and other machine learning tools.
• Lead model training, evaluation, and deployment across AWS and integrated big data environments including Hadoop and Spark.
• Apply unsupervised learning and predictive modeling analysis to generate meaningful insights from large datasets.
• Collaborate with cross-functional teams to build NLP applications and generative AI solutions that improve user engagement.
• Perform statistical analysis to support research objectives, including rigorous validation using tools such as SAS and R.
• Build scalable data pipelines using ETL workflows with Talend or Bash scripting to enable data mining and analytics.
• Develop and maintain SQL databases and data warehouses for efficient storage, retrieval, and data management aligned with database design best practices.
• Continuously evaluate AI models for accuracy, robustness, and scalability, then deploy them into production using model deployment techniques.

Requirements

• Extensive experience with AWS cloud services for machine learning model hosting and management.
• Proficiency in Python, Java, C, SQL, R, VBA, Bash (Unix shell), and other programming languages relevant to AI development.
• Deep understanding of big data systems such as Hadoop and Spark, plus familiarity with data analytics frameworks like Looker.
• Strong background in statistical modeling and statistical analysis tools for research use cases.
• Hands-on experience with TensorFlow, Spark MLlib, and other machine learning frameworks and libraries.
• Knowledge of NLP, generative AI techniques, and AI implementation strategies for varied application needs.
• Ability to design scalable architectures supporting high-volume data mining and predictive modeling analysis.
• Experience with machine learning cloud services for training, evaluation, deployment, and monitoring at scale.
• Experience working with SQL databases and designing efficient schemas for large datasets.
• Strong problem-solving skills and excellent communication ability to translate complex technical concepts into actionable insights.

Technologies

TensorFlow, Spark MLlib, AWS, Hadoop, Spark, SAS, R, Talend, Bash, SQL, Looker

Benefits

• Health insurance
• Life insurance
• Vision insurance
• Relocation assistance

Pay: $80,000.00 - $180,000.00 per year

Work location: In person