Machine Learning Engineer

Capgemini; New York (NY); Hybrid; USD 99,000 - 140,000; Full time

Job summary

A leading company in IT Services is seeking a Machine Learning Engineer for a full-time position in New York. The role is hybrid and requires expertise in Python programming, machine learning frameworks like TensorFlow and PyTorch, and experience with clouds like AWS and Azure. This exciting opportunity involves designing scalable ML pipelines, ensuring model integration into applications, and maintaining the necessary infrastructure for model development.

Qualifications

• 5-8 years of experience required.
• Strong programming skills in Python.
• Experience with ML frameworks and cloud platforms.

Responsibilities

• Design and implement scalable ML pipelines.
• Ensure integration of models into applications.
• Build and maintain infrastructure for model training.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

MLOps

Automation

Tools

AWS

GCP

Azure

Docker

Kubernetes

MLflow

SageMaker

Kubeflow

Job description

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We are seeking a Machine Learning Engineer at New York (Hybrid) – Full Time

Machine Learning Engineer

Location: [New York - Hybrid]

Experience: [5-8 years]

Employment Type: Full-time

Remote/Hybrid: [Hybrid]

Key Responsibilities

• Design and implement scalable, production-ready pipelines for deploying machine learning models.
• Ensure seamless integration of models into real-world applications and services.
• Infrastructure & Automation
• Build and maintain robust infrastructure for model training, testing, and deployment using cloud platforms and MLOps tools.
• Automate workflows to streamline the ML lifecycle.

JD

• Strong programming skills in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Familiarity with MLOps tools (e.g., MLflow, SageMaker, Kubeflow).
• Solid understanding of model evaluation, versioning, and deployment strategies.
• Experience with monitoring tools and logging frameworks for ML systems.

Candidates meeting the criteria are encouraged to submit their resume to [e-mail]

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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