Senior MLOps Engineer

3 weeks ago


Nashville, Tennessee, United States Straive Full time
Job Description

We are seeking a highly skilled Senior MLOps Engineer to lead our machine learning operations team. The ideal candidate will have a strong focus on revenue management and experience in designing, developing, and deploying production-grade AI solutions.

Key Responsibilities:

  • Collaboration: Partner with data scientists and ML engineers throughout the entire ML lifecycle, from model development to production deployment.
  • MLOps Pipeline Design: Design and implement MLOps pipelines utilizing tools and frameworks such as TensorFlow Serving, Kubeflow, MLflow, or similar solutions.
  • Data Engineering Infrastructure: Develop and implement data pipelines and engineering infrastructure to support enterprise-scale machine learning systems, including tasks like data ingestion, preprocessing, transformation, feature engineering, and model training.
  • Cloud Solutions: Design and implement cloud-based MLOps solutions on platforms like Azure ML, Azure Databricks, AWS SageMaker, or Google Cloud AI Platform.

Qualifications:

  • Experience: Minimum of 7 years of work experience, with at least 3 years focused on MLOps.
  • Domain Expertise: Strong expertise in Generative AI, advanced NLP, computer vision, and ML techniques.
  • Production Solutions: Proven experience in designing, developing, and deploying production-grade AI solutions.
  • Communication Skills: Excellent communication and collaboration skills, with the ability to work independently and as part of a team.
  • Analytical Skills: Strong problem-solving and analytical abilities.
  • Continuous Learning: Stay current with the latest advancements in MLOps technologies and actively evaluate new tools and techniques to enhance the performance, maintainability, and reliability of machine learning systems.

Estimated Salary: $150,000 - $200,000 per year, depending on experience and qualifications.


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