Senior Machine Learning Engineer

4 weeks ago


Chicago, Illinois, United States MMD Services Full time
Job Title: Senior Machine Learning Engineer

MMD Services Inc. is seeking a Senior Machine Learning Engineer to enhance and mature their machine learning frameworks and processes. The ideal candidate will have expertise in AWS cloud services, with a strong focus on automating ML operations.

Key Responsibilities:
  • Enhance and mature the existing ML operations framework on AWS SageMaker, focusing on automation and scalability.
  • Collaborate with engineering and data science teams to integrate new tools into the ML pipeline, such as observability and tracking solutions.
  • Improve real-time model performance with a focus on reducing latency and increasing efficiency.
  • Lead the deployment, monitoring, and management of ML models in a cloud environment, ensuring smooth operations.
  • Automate ML operations processes, including evaluation, monitoring, and prompt management, utilizing tools and scripting (e.g., Bash, Python).
  • Utilize Docker for containerized ML environments, and work with tools like PySpark and MySpark.
  • Research and propose solutions to streamline existing processes and enhance overall ML operations.
Required Skills and Experience:
  • 5+ years of experience in software engineering with at least 2 years in ML Operations.
  • Expertise in AWS cloud services, with strong knowledge of ML Ops frameworks and tools.
  • Proficiency in Python, Bash, and Docker, with a focus on automating ML operations.
  • Hands-on experience with AWS SageMaker and real-time model deployment.
  • Familiarity with large-scale model infrastructure, including API development, infrastructure deployments, and monitoring.
  • Knowledge of automating ML workflows and fine-tuning large machine learning models (LLMs) in AWS.
  • Experience in operationalizing machine learning models, including understanding key tools and processes for automating ML operations.
  • Strong contributions to previous teams, specifically in ML operations and solving technical challenges.
  • Independence and proactive research are highly valued, especially in proposing solutions that enhance and streamline processes.
  • Nice to have: experience with PySpark and MySpark.
Preferred Qualifications:
  • Master's degree in a relevant field (preferred, not necessary).
Additional Information:
  • Hybrid role based in Chicago (2-3 days per week in-office).


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