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AI​/ML Engineer

Job in California, Moniteau County, Missouri, 65018, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-20
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Engineering, AWS
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR
Job Description & How to Apply Below
Location: California

Responsibilities

  • Guide the architecture, design, and development of our Cloud platforms and automations
  • Design and implement highly scalable, multi-threaded, and distributed applications
  • Design and implement AI Agents to monitor and optimize cloud resources
  • Integrate AI-driven insights with Cloud Service Providers
  • Ensure robust performance, reliability, and security for cloud-based deployments
  • Conduct code reviews and offer constructive feedback
  • Continuously optimize processes to improve developer productivity
  • Develop predictive models for drift detection, cost anomaly detection, and forecasting
  • Automate operational workflows using machine learning
  • Design, build, and maintain scalable ETL pipelines
  • Use AWS Athena for interactive querying of data
  • Manage and optimize data storage and processing using Snowflake
  • Orchestrate complex workflows and data pipelines using Apache Airflow DAGs
  • Continuously evaluate emerging AI technologies and tools
Requirements
  • 7+ years of experience in Computer Science
  • Bachelor’s or Master’s Degree in Computer Science, Data Science, or related technical field
  • At least 2 years of experience in building and deploying ML models
  • Solid knowledge of cloud technologies (AWS, GCP, Azure, OCI)
  • Experience with Python, PySpark, and ML libraries such as PyTorch, Tensor Flow, or Scikit-Learn
  • Experience with AWS Glue ETL, AWS Athena, Snowflake, and Apache Airflow DAGs
  • Full stack development experience with Angular and Flask preferred
  • Strong communication and multi-functional collaboration skills
  • Comfortable working with streaming data, APIs, and telemetry systems
  • Experience with Agile and Dev Ops operating models
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