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ML Cost Optimization Engineer
ML Cost Optimization EngineerOpenkyber • TX, United States
ML Cost Optimization Engineer

ML Cost Optimization Engineer

Openkyber • TX, United States
16 hours ago
Job type
  • Full-time
  • Quick Apply
Job description

Role : AI Data Engineer- Expert Level

Location : Spring TX (5 days onsite)

The ideal candidate will have experience working with medium to complex data structures in a corporate environment. They should be proficient in working hands-on with data in Snowflake, transforming data with DBT, and visualizing it efficiently in Power BI, including implementing logic in DAX. Additionally, the candidate should possess strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts to both technical and non-technical stakeholders in English.

AI Engineering Responsibilities :

  • Collaborate with data modelers to prepare and optimize datasets for AI model training and inference.
  • Design and implement data pipelines that support AI / ML workflows, including feature engineering and model monitoring.
  • Integrate AI-powered analytics and predictive models into business intelligence tools like Power BI.
  • Evaluate and implement AI services (e.g., Azure Cognitive Services, OpenAI, or custom ML models) to enhance data products and user experiences.

Required Skills and Experience

  • SQL, DBT, ADF, DAX, Power BI, Snowflake
  • AI / ML Integration : Experience integrating AI / ML models into data pipelines and analytics platforms.
  • Data Modeling : Hands-on experience designing and implementing complex data models, with strong understanding of normalization, denormalization, and schema designs such as star and snowflake schema.
  • Ingestion Processes : Hands-on experience developing and optimizing EL (Extract and Load) processes using ADF (Azure Data Factory).
  • Data Transformation Processes : Hands-on experience developing and optimizing DBT (Data Build Tool) models, including data testing.
  • Data Warehousing : Understanding of data warehousing concepts and best practices, particularly with Snowflake platform, including optimization strategies, query tuning, and clustering.
  • Cloud Platforms : Experience with Azure, particularly in relation to data storage, integration, processing, and AI services.
  • Programming Languages : Proficiency in SQL and DAX; familiarity with Python or R for AI / ML tasks is a plus.
  • Visualization Expertise : Experience creating interactive and performant visualizations using Power BI, including designing and maintaining semantic models.
  • AI Training & Development : Experience working with data, systems, and architecture to train and develop new AI-powered analytics and functionality.

    • Relevant Certifications

  • PL-300 : Power BI Data Analyst Associate
  • DP-203 : Azure Data Engineer Associate
  • SnowPro Core Certification
  • SnowPro Advanced : Data Analyst
  • SnowPro Advanced : Data Engineer (DEA-C02)
  • AI-102 : Designing and Implementing an Azure AI Solution (Recommended)
  • Microsoft Certified : Azure AI Engineer Associate (Optional but valuable)

    • Top 3 skill sets / technologies required for qualification :

  • AI / ML
  • Data Modeling
  • Power BI
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    Cost Engineer • TX, United States

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