companySana Commerce logo

Senior Data Engineer (Machine Learning/AI)

Sana CommerceAlexandria
On-site Full-time

Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.


Unlock Your Potential

Generate Job-Optimized Resume

One Click And Our AI Optimizes Your Resume to Match The Job Description.

Is Your Resume Optimized For This Role?

Find Out If You're Highlighting The Right Skills And Fix What's Missing

Experience Level

Mid to Senior

Qualifications

QualificationsOver 8 years of experience as a Data Engineer, with a strong background in Azure and Databricks, and familiarity with ML/AI-related data workflows. A degree in a relevant field such as Econometrics, Computer Science, Mathematics, or a similar discipline. Excellent analytical and problem-solving abilities. Proficient in data preparation for ML/AI, including managing large datasets, feature engineering, and both real-time and batch data pipelines. Keen understanding of MLOps concepts and the role of data engineering in model lifecycle management. Experience with orchestration frameworks like Airflow, Prefect, or Azure Data Factory for complex ML pipelines. Familiarity with unstructured data processing (such as text, images, logs) is an advantage. Strong skills in SQL and Python, with experience in distributed data processing tools like PySpark or Dask.

About the job

Your Role

As a Senior Data Engineer specializing in Machine Learning and AI, you will be pivotal in designing and maintaining robust data pipelines tailored for ML/AI workloads. Your expertise will be crucial in managing large-scale, unstructured, and semi-structured data. You will build feature pipelines and feature stores that promote the reusability and consistency of data for machine learning models.

Key Responsibilities

  • Design and maintain data pipelines optimized for handling ML/AI workloads.
  • Develop feature pipelines and stores ensuring data consistency for machine learning.
  • Collaborate with Data Scientists and ML Engineers to define data requirements for various stages including training, validation, and deployment.
  • Guarantee data quality, lineage, and governance to meet the standards required for AI/ML applications.
  • Support MLOps practices by integrating data pipelines with model training, monitoring, and deployment workflows.
  • Utilize distributed processing frameworks such as Spark, Databricks, or Azure Synapse for scalable ML data processing.

About Sana Commerce

Founded in 2007, Sana Commerce has transformed from a simple idea into a dynamic SaaS company dedicated to empowering manufacturers, distributors, and wholesalers in navigating the complexities of B2B commerce. Our mission is straightforward: to strengthen business relationships through seamless digital commerce solutions. We are currently seeking a Senior Data Engineer (ML/AI) to join our team. In this role, you will design, build, and scale data systems that drive our analytics and machine learning initiatives. Your efforts will ensure high-quality, reliable, and ML-ready data pipelines that enable both standard analytics and advanced AI-driven solutions throughout the organization.

Similar jobs

Tailoring 0 resumes

We'll move completed jobs to Ready to Apply automatically.