Senior AI Engineer, Innovation Programs Group

3 days ago

Austin, Texas, United States Centric Software Full time
About the Role

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.

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.
Requirements
  • Bachelor's degree: In Computer Science, Engineering, or a related field.
  • Experience: 8+ years of experience in AI/ML and software development.
  • Skills: Strong skills in Python, numpy, scipy, pandas, Spark, and Jupyter notebooks.
  • Knowledge: Proven experience in regression analysis and hyperparameter tuning.
  • MLOps: Knowledge of MLOps practices.
  • Communication: Excellent communication and collaboration skills.

We are an equal opportunity employer and welcome applications from diverse candidates. If you are passionate about AI/ML and possess the technical expertise to transform ideas into reality, we encourage you to apply.

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