Shyftlabs

AI Engineer

Job Description

Position Overview-
We are looking for an experienced AI Engineer to implement and optimize AI-powered products and solutions. In this role, you will work with cross-functional teams to apply, fine-tune, and scale AI models, ensuring they deliver real-world impact. You will focus on optimizing performance, integrating AI into production systems, and enabling seamless deployment.

ShyftLabs is a leading data and AI company, helping enterprises unlock value through AI-driven products and solutions. We specialize in data platforms, machine learning models, and AI-powered automation, offering consulting, prototyping, solution delivery, and platform scaling. Our Fortune 500 clients rely on us to transform their data into actionable insights.


Key Responsibilities:
  • Apply and optimize AI models to enhance ShyftLabs' data and AI products.
  • Integrate AI solutions into scalable production environments.
  • Fine-tune models for performance, reliability, and cost efficiency.
  • Collaborate with engineers and data scientists to ensure seamless AI deployment.
  • Leverage cloud and infrastructure tools to support AI-driven applications.
  • Stay up to date with AI advancements and best practices.
  • Document processes and implementations to improve scalability and knowledge sharing.

    • Basic & Preferred Qualifications:
  • Bachelor’s degree in Computer Science, AI, Data Science, or a related field.
  • 2+ years of experience in AI/ML engineering, software development, or data-driven solutions.
  • Strong programming skills in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Proficiency in SQL.
  • Experience integrating AI models into scalable production systems.
  • Strong software engineering skills, including experience with API development, microservices, and distributed systems.
  • Familiarity with cloud platforms such as AWS, GCP, or Azure and MLOps best practices.
  • Understanding of system design and architecture to support AI applications.
  • Excellent problem-solving skills and the ability to optimize AI-driven applications.
  • Strong communication skills to collaborate with cross-functional teams and stakeholders.

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