Senior AI Engineer, Innovation Programs Group

Senior AI Engineer, Innovation Programs Group Remote, Austin, TX Salary range is : $150,000 $180,000. About Centric Software : Centric Software stands at the forefront of innovation, delivering cutting-edge PLM solutions tailored specifically for the retail, fashion, footwear, luxury, and consumer goods industries.

Our enterprise software applications are designed to meet the unique challenges of the fast-moving consumer goods market, empowering businesses to manage, optimize, and execute their critical processes with ease.

From concept to production, our software solutions streamline the journey of bringing products to life. We support our customers in effectively managing materials, sourcing, quality, and pricing, ensuring every step leads to a successful final catalog.

With Centric Software, businesses can navigate the complexities of product development with confidence and agility. www.

centricsoftware.com Job Summary : We are seeking a highly skilled Senior AI Engineer to join our Innovation Programs Group at Centric Software.

This role is pivotal in leveraging advanced AI techniques to drive innovation and deliver cutting-edge solutions. The ideal candidate will possess extensive experience in AI / ML technologies, coupled with a robust background in software engineering.

Our group is dedicated to utilizing Generative AI to enhance sales and strengthen our market position. Key Responsibilities : Data Engineering : Design and maintain robust data pipelines, including the generation of synthetic data and web scraping.

Backend Development : Develop and implement REST APIs to integrate AI models with other systems. UI Demos : Create interactive UI demos using tools such as Streamlit or Gradio to demonstrate AI capabilities.

Model Development : Develop and optimize machine learning models using Python, numpy, scipy, pandas, Spark, and Jupyter notebooks.

Regression and Hyperparameter Tuning : Conduct regression analysis and perform hyperparameter tuning to improve model performance.

MLOps Implementation : Apply MLOps practices to ensure reliable deployment and monitoring of AI models. Collaboration : Collaborate with cross-functional teams to deliver high-quality AI-driven solutions.

Documentation : Generate comprehensive documentation and technical specifications for AI projects. Generative AI Expertise : Prototype Delivery : Utilize generative AI tools to accelerate the development and delivery of prototypes, ensuring rapid iteration and feedback cycles.

High-Quality Code : Apply generative AI techniques to produce high-quality code, enhancing efficiency and maintainability.

Test Data and Documentation : Generate comprehensive test data and documentation using AI, streamlining the development and testing processes.

Innovation in New Domains : Leverage generative AI to explore and innovate in new technological domains, expanding the capabilities and reach of our product offerings.

Technical Stack : AI / ML Development : Proficiency in Python, numpy, scipy, pandas, Spark, Jupyter notebooks, regression analysis, and hyperparameter tuning.

MLOps : Experience with MLOps practices for model deployment and monitoring. Cloud Platforms : Familiarity with AWS Sagemaker or Azure ML.

Frontend Tools : Experience with Streamlit, Gradio, or similar tools for creating UI demos. Backend Development : Ability to write and maintain REST APIs.

Data Engineering : Expertise in building data pipelines, including synthetic data generation and web scraping. Minimum Qualifications : Bachelor’s degree in Computer Science, Engineering, or a related field.

8+ years of experience in AI / ML and software development. Strong skills in Python, numpy, scipy, pandas, Spark, and Jupyter notebooks.

Proven experience in regression analysis and hyperparameter tuning. Knowledge of MLOps practices. Ability to create interactive UI demos using Streamlit or Gradio.

Extensive experience in data generation, including synthetic data and web scraping. Excellent communication and collaboration skills.

Preferred Qualifications : Experience with large language models (LLMs) and AI agents. Familiarity with generative AI models like Stable Diffusion for 2D and 3D asset generation.

Experience with AWS Sagemaker or Azure ML. Familiarity with cloud-native development and deployment. Strong presentation and storytelling skills.

This role is ideal for individuals eager to drive innovation and leverage cutting-edge AI technologies to enhance our product offerings at Centric Software.

If you are passionate about AI / ML and possess the technical expertise to transform ideas into reality, we encourage you to apply.

Centric Software provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status or genetic information.

Centric Software provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status or genetic information. Powered by JazzHR