Machine Learning Support

Overview

On Site
$1 - $2
Full Time
100% Travel

Skills

MLOps
Technical support
Machine Learning

Job Details

We are seeking a Tech Lead for a support-related role for deployed ML solutions. You'll act as a bridge between the client and the offshore team, ensuring the timely resolution of support incidents, the implementation and deployment of change requests, as well as finding avenues for automation to reduce effort.

Responsibilities

  • Technical Support: Provide technical support for production machine learning models, including troubleshooting and resolving ML pipeline issues, model performance degradation, data anomalies, and deployment failures.

  • Shift: You should be willing to work on a shift-based schedule and should be ready to provide on-call weekend support

  • Collaboration: Work closely with internal and client-side stakeholders to address problems and implement best practices.

Qualifications

  • Bachelor's or Master s degree in Computer Science, Engineering, or related field

  • 8+ years of experience in machine learning engineering, including deploying, maintaining, and troubleshooting ML models in production.

  • Experience in leading a team, client interaction, and reporting.

  • Strong hands-on experience with Python and ML frameworks (TensorFlow, PyTorch, Scikit learn, etc.).

  • Strong hands-on experience with Databricks for building, deploying, and managing machine learning workflows.

  • Hands-on with MLOps tools and cloud platforms

  • Understanding of CI/CD for ML workflows.

  • Proven problem-solving skills, especially in diagnosing and resolving issues in large scale, distributed ML systems.

  • Strong understanding of data engineering concepts, pipeline orchestration, and model versioning.

  • Knowledge of model

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