AI/ML Architect

7 days ago

India InOrg Global Full time

We are looking for a skilled AI/ML Architect with strong experience in cloud technologies to lead the creation of advanced artificial intelligence and machine learning solutions. The perfect candidate will have a deep knowledge of AI/ML algorithms, frameworks, and tools, as well as a solid background in building scalable systems on cloud platforms. As an AI/ML Architect, you will have a key role in promoting innovation, utilizing cloud services to design and implement AI/ML models that tackle intricate business problems.

Responsibilities:

  • Architecture and Design: Develop end-to-end AI/ML solutions covering data processing, model training, deployment, and monitoring utilizing cloud infrastructure.
  • Algorithm Selection and Development: Choose suitable AI/ML algorithms and techniques to solve specific issues effectively.
  • Model Training and Optimization: Lead the creation and training of machine learning models with large datasets.
  • Cloud Integration: Integrate AI/ML solutions with cloud platforms like AWS, Azure, or Google Cloud Platform.
  • Scalability and Performance: Architect high-performance AI/ML systems capable of handling extensive data efficiently.
  • Deployment and Automation: Implement automated pipelines for model deployment using best practices.
  • Monitoring and Optimization: Set up monitoring solutions to track model performance and optimize resource usage.
  • Security and Compliance: Ensure AI/ML solutions comply with data privacy and security regulations.
  • Collaboration and Communication: Work closely with cross-functional teams to define solution architectures effectively.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field.
  • 12+ years of experience in software development, data engineering, or AI/ML engineering.
  • Strong proficiency in AI/ML algorithms and frameworks such as TensorFlow and PyTorch.
  • Extensive experience with cloud platforms like AWS, Azure, or Google Cloud Platform.
  • Proficiency in programming languages like Python, Java, or Scala.
  • Understanding of distributed computing principles and big data technologies.
  • Experience with containerization and orchestration technologies like Docker and Kubernetes.
  • Excellent problem-solving skills and strong communication abilities.
  • Experience with Agile software development methodologies.
  • Willingness to work in a fast-paced environment.

Preferred Qualifications:

  • Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
  • Certifications in AI/ML and cloud platforms.
  • Experience with deep learning techniques and neural network architectures.
  • Knowledge of data engineering principles and practices.
  • Experience with MLOps practices and tools.
  • Experience with streaming data processing technologies.
  • Understanding of data privacy regulations.
  • Contributions to open-source AI/ML projects or publications.

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