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Machine Learning Engineer

Top AI Startup

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5-7 Years
3 months ago
49 Viewed
1 Applied

Job Description

Kindly note that 5+ years of professional experience is required for the role.

We are a leading product development company specializing in GenAI and ML-powered solutions.

We are seeking a talented and experienced Technical Architect (Staff/Principal Engineer - Application) to join our dynamic team.

Responsibilities:

  • Designing the data pipelines and engineering infrastructure to support machine learning systems at scale.
  • Developing and deploying scalable tools and services to handle machine learning training and inference.
  • Applying software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.
  • Automating the deployment and scaling of machine learning models in production.
  • Collaborating with data scientists, software engineers, and other stakeholders to ensure machine learning models effective deployment and operation.
  • Ensuring the security, privacy, and compliance of machine learning models and related data.

Eligibility

  • 5+ years of experience in data engineering or a related field.
  • Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or equivalent.
  • Experience in MLOps tools like MLFlow or Azure Machine Learning
  • Strong software engineering skills in complex, multi-language systems
  • Experience building custom integrations between cloud-based systems using APIs.
  • Experience developing with containers and Kubernetes in cloud computing environments and maintaining ML systems built with open-source tools.

Why Join Us:

Innovative Environment: Be part of a team that's at the forefront of technological innovation, utilizing GenAI and ML to create groundbreaking solutions.

Collaborative Culture: Work in a collaborative environment where your ideas are valued, and you have the opportunity to make a real impact.

We provide a flexible work environment

Professional Growth: We're committed to your professional growth and development, offering opportunities for learning and advancement.

Competitive Compensation: Enjoy a competitive compensation and benefits package, including medical insurance.

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Last Updated: 22-06-2024 00:25:06 PM
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