AI Developer

6 days ago


Udaipur, Rajasthan, India beBeeArtificialintelligence Full time US$ 1,50,000 - US$ 1,70,000
Job Title: Artificial Intelligence Developer

As an Artificial Intelligence Developer, you will design and develop cutting-edge AI solutions for clients. Your expertise in machine learning algorithms and cloud platforms will enable you to build robust models that drive business outcomes.

Key Responsibilities
  • Design, develop, and deploy end-to-end AI pipelines on cloud platforms, leveraging your knowledge of data engineering principles and experience with big data technologies.
  • Collaborate with data scientists to translate AI models and algorithms into production-ready code, utilizing version control systems like Git and agile development methodologies.
  • Manage the entire AI lifecycle, including data ingestion, model training, validation, and deployment, ensuring MLOps best practices are implemented to automate workflows and ensure model performance and reliability.
  • Optimize AI models for performance, scalability, and cost efficiency on the cloud, staying current with the latest advancements in AI and cloud technologies.
  • Monitor and troubleshoot deployed models to ensure they meet performance and business requirements, employing strong problem-solving skills and a collaborative mindset.
Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, preferably with a background in AI and machine learning.
  • 3+ years of experience in an AI or data science role, with hands-on experience with cloud services and proficiency in Python and standard AI libraries.
  • Experience with containerization technologies and solid understanding of MLOps principles and tools for CI/CD.
  • Knowledge of data engineering principles and experience with big data technologies, as well as familiarity with agile development methodologies.
  • Strong problem-solving skills and ability to work in a collaborative environment, with excellent communication and teamwork skills.
Preferred Qualifications
  • Experience with other cloud services and certifications like AWS Certified AI – Specialty.
  • Experience with model serving frameworks and familiarity with version control systems like Git.
  • Strong background in machine learning and AI, with experience in designing and developing AI-powered solutions.
  • Familiarity with DevOps practices and tools, as well as experience with continuous integration and delivery.

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