AI Senior Data EngineerIntraEdge • Detroit, MI, US
AI Senior Data Engineer
IntraEdge • Detroit, MI, US
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job_description.job_card.job_descriptionEducation : Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field. Experience : proven experience in data engineering or a similar role, with specific experience supporting AI and ML projects. Programming : fluency in Python and SQL; familiarity with Java or Scala is a plus. Frameworks : hands-on experience with TensorFlow, PyTorch, Scikit-learn, and LLM-specific tools like LangChain or LlamaIndex. Big data : experience with Apache Spark, Hadoop, and distributed processing. Cloud platforms : proficiency with at least one major cloud provider (AWS, Azure, or GCP) and its AI data services. Databases : expertise in relational (SQL) and NoSQL databases, including vector databases for GenAI applications. DevOps and MLOps : experience with CI / CD, Docker, and MLOps tools like MLflow.
IntraEdge is hiring an AI Data Engineer.
Location : Detroit metro – must be local.
Employment type : Full-time.
Responsibilities
- Build AI-ready data pipelines : design, construct, and optimize scalable ETL and ELT pipelines for AI and ML models.
- Architect data solutions : develop and manage data architectures, including data lakes, data warehouses, and vector databases, to support various AI workloads.
- Ensure data quality and governance : implement data validation, security, and governance policies to guarantee integrity, accessibility, and compliance of data used in AI models.
- Support AI model lifecycle : collaborate with data scientists and ML engineers to prepare, integrate, and manage large-scale datasets for model training and deployment.
- Manage real-time data : develop streaming data pipelines using technologies like Apache Kafka to support real-time AI applications and analytics.
- Optimize cloud infrastructure : utilize AWS cloud computing platforms to build, deploy, and scale AI data solutions efficiently.
- Deploy AI models : automate training and deployment of AI / ML models into production via APIs and microservices.
- Monitor and troubleshoot : implement data observability tools to monitor pipeline health, identify data drift, and resolve data quality issues that may impact model performance.
- AI-assisted development : use AI assistants like Copilot in Microsoft Fabric notebooks to generate, explain, and fix code, accelerate data analysis, and streamline transformation tasks.
Qualifications
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
IT Services and IT Consulting
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Detroit, MI $112,597.33-$152,810.66 1 month ago
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Senior Data Engineer • Detroit, MI, US