drjobs Sr Machine Learning Engineer

Sr Machine Learning Engineer

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Job Location drjobs

Malvern, PA - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Job Title: Sr. Machine Learning Engineer (Strong SageMaker Experience)

Location: Malvern PA
Work Model: Hybrid (Onsite from Day 1)
Duration: 1 Years
Interview Mode: Video Interview Accepted

Job Description:

We are seeking a Senior Machine Learning Engineer with extensive experience in building deploying and managing ML models using AWS SageMaker. The ideal candidate will play a critical role in designing and implementing scalable machine learning solutions in a cloud-native environment. This is a long-term opportunity with one of our top clients in the financial/insurance domain.

Key Responsibilities:
  • Develop deploy and monitor machine learning models using Amazon SageMaker.

  • Collaborate with data scientists data engineers and business stakeholders to understand business problems and deliver ML-based solutions.

  • Design and implement end-to-end ML pipelines including data preprocessing model training validation and deployment.

  • Optimize performance of existing models and improve accuracy and efficiency.

  • Automate ML workflows and ensure best practices in MLOps.

  • Maintain model versioning experiment tracking and production deployment monitoring.

  • Work in an Agile environment and contribute to sprint planning code reviews and stand-ups.

Required Skills & Experience:
  • 6 years of experience in Machine Learning / Data Science / AI Engineering roles.

  • Hands-on expertise with AWS SageMaker (mandatory).

  • Strong programming skills in Python and experience with ML libraries like TensorFlow PyTorch scikit-learn etc.

  • Proficiency in deploying and maintaining ML models in production environments.

  • Strong understanding of AWS ecosystem and services related to ML (e.g. Lambda S3 EC2 Step Functions etc.).

  • Experience with data wrangling using Pandas NumPy and large-scale data handling.

  • Familiarity with CI/CD pipelines for ML and tools like MLflow Kubeflow or Airflow is a plus.

  • Excellent problem-solving and communication skills.

Employment Type

Full-time

Company Industry

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