Artificial Intelligence Developer

2 days ago

Pune, Maharashtra, India beBeeMachineLearning Full time ₹ 1,00,00,000 - ₹ 2,00,00,000

Job Title: Artificial Intelligence Developer

About the Role

We are seeking a talented Artificial Intelligence Developer to build innovative solutions and drive business growth.

The ideal candidate will have a strong background in artificial intelligence, with expertise in designing, building, and deploying robust AI models in a cloud environment.

  • Design, develop, and deploy end-to-end AI pipelines on a cloud platform.
  • Collaborate with data scientists to translate models and algorithms into production-ready code.
  • Manage the entire AI lifecycle, including data ingestion, model training, validation, and deployment.
  • Implement DevOps best practices to automate workflows and ensure model performance and reliability.
  • Optimize AI models for performance, scalability, and cost efficiency on the cloud platform.
  • Monitor and troubleshoot deployed models to ensure they meet performance and business requirements.
Required Skills and Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 3+ years of experience in an AI or data science role.
  • Hands-on experience with cloud services, specifically SageMaker.
  • Proficiency in Python and standard AI libraries (e.g., scikit-learn, TensorFlow, PyTorch).
  • Experience with containerization technologies like Docker.
  • Solid understanding of DevOps principles and tools for CI/CD.
  • Knowledge of data engineering principles and experience with big data technologies (e.g., Spark, Hadoop).
  • Strong problem-solving skills and the ability to work in a collaborative environment.
Benefits
  • A competitive salary package.
  • Ongoing training and professional development opportunities.
  • A dynamic and supportive work environment.
Others
  • This role involves working on a variety of projects, so you'll need to be flexible and adaptable.
  • You'll also have the opportunity to work with a range of stakeholders, including data scientists, engineers, and product managers.

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