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Applied AI/ML Developer - Remote

Posted Yesterday

Overview

We are seeking an exceptional Applied AI/ML Developer who will be at the forefront of transforming cutting-edge artificial intelligence technologies into scalable, real-world solutions. This role combines deep technical expertise with strategic vision to drive our AI initiatives forward.

In Short

  • Architect and implement AI/ML solutions that translate emerging technologies into practical, enterprise-scale applications.
  • Lead the evaluation and adoption of new AI/ML technologies, ensuring our solutions remain innovative and future-proof.
  • Bridge the gap between theoretical AI research and practical business applications.
  • Deep expertise in emerging AI/ML technologies and their practical applications.
  • Proven track record of implementing scalable AI solutions in production environments.
  • Passion for staying ahead of AI trends and driving innovation.
  • Strong understanding of the AI industry landscape and its future trajectory.
  • Advanced Python programming skills required.
  • Experience with Git and version control.
  • Familiarity with cloud ML platforms.

Requirements

  • Strong software engineering practices and design patterns.
  • Experience with REST APIs and microservices architecture.
  • Knowledge of Docker and containerization.
  • Experience with CI/CD pipelines.
  • Strong foundation in statistics and probability.
  • Understanding of linear algebra and calculus.
  • Familiarity with machine learning fundamentals.
  • Experience with deep learning architectures and principles.
  • Knowledge of cloud platforms (AWS/Azure/GCP).
  • Experience with model serving and deployment.

Benefits

  • Opportunity to work in a diverse and inclusive environment.
  • Access to cutting-edge technology and tools.
  • Collaborative work culture.
  • Career development opportunities.
  • Flexible work arrangements.
  • Competitive salary and benefits.
  • Support for professional growth and learning.
  • Engagement with a global community of talent.
  • Commitment to equity and inclusion.
  • Work on impactful projects that drive innovation.

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