AI Engineer - Senior

MXI LLC; Austin (TX); Vor Ort; USD 80.000 - 180.000; Vollzeit

Benefits dieser Stelle

Health insurance

Life insurance

Relocation assistance

Vision insurance

Zusammenfassung

MXI LLC is seeking a Senior AI Engineer to lead the development and deployment of AI solutions focused on business insights and operational excellence. This onsite role in Austin, TX emphasizes scalable ML, NLP, and generative AI, supported by cloud-based ML services.

You will design and deploy scalable AI models, lead end-to-end training and evaluation, and collaborate with cross-functional teams to build NLP applications that enhance user engagement.

Qualifikationen

• 5+ years of experience in AI engineering and ML model deployment.
• Experience with AWS cloud services for ML hosting.
• Strong knowledge of NLP, generative AI, and big data tools.

Aufgaben

• Design and optimize AI models using TensorFlow, Spark MLlib.
• Lead end-to-end model training, evaluation, and deployment on AWS.
• Apply unsupervised learning and predictive modeling on large datasets.
• Collaborate with teams to build NLP applications and generative AI solutions.
• Perform statistical analysis using SAS and R.
• Create scalable data pipelines with Talend and Bash scripting.
• Design and maintain SQL databases and data warehouses.
• Continuously evaluate deployed models for accuracy and scalability.

Tools

TensorFlow

Spark MLlib

AWS

Hadoop

Spark

SAS

R

Talend

Bash

SQL

Looker

Python

Java

C

VBA

Jobbeschreibung

MXI LLC is seeking a Senior AI Engineer to lead the development and deployment of AI solutions focused on business insights and operational excellence. This onsite role in Austin, TX emphasizes scalable machine learning, natural language processing, generative AI, and statistical modeling, supported by cloud-based machine learning services.

What you’ll do

• Design, develop, and optimize AI models using tools and frameworks such as TensorFlow, Spark MLlib, and other machine learning technologies.
• Lead end-to-end model training, evaluation, and deployment workflows across AWS and integrated big data systems including Hadoop and Spark.
• Apply unsupervised learning and predictive modeling analysis to identify actionable insights from large datasets.
• Partner with cross-functional teams to build natural language processing applications and generative AI solutions that improve user engagement.
• Perform statistical analysis for research needs, validating models using tools such as SAS and R.
• Create scalable data pipelines using ETL processes with Talend and/or Bash scripting to support data mining and analytics initiatives.
• Design and maintain SQL databases and data warehouses, ensuring efficient storage, retrieval, and database management aligned with best practices.
• Continuously evaluate deployed models for accuracy, robustness, and scalability as part of production model deployment.

What you bring

• 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 AI-relevant programming languages.
• Strong knowledge of big data systems, including Hadoop and Spark, plus analytics frameworks such as Looker.
• Deep background in statistical modeling and statistical analysis tools for research applications.
• Hands-on experience with machine learning frameworks including TensorFlow and Spark MLlib.
• Knowledge of NLP, generative AI techniques, and implementation strategies for diverse applications.
• Ability to design scalable architectures supporting high-volume data mining and predictive modeling analysis.
• Familiarity with machine learning cloud services across the lifecycle of training, evaluation, deployment, and monitoring at scale.
• Experience working with SQL databases, including designing efficient database schemas for large datasets.
• Strong problem-solving skills and the ability to communicate complex technical concepts into actionable insights.

Technologies you’ll work with

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

Compensation and benefits

$80,000.00 - $180,000.00 per year

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

Work location: In person (Austin, TX)