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Senior Software Architect

2 months ago

Canada Ayata Full time
Job Title: Senior Software Architect

Ayata is seeking an experienced Senior Software Architect to lead the development of Artificial Intelligence (AI) and Machine Learning (ML) software for business applications.

Responsibilities:
  • Lead AI/ML software development, providing methodology, strategy, ideas, architecture, and solutions for real-world, industrial-scale and mission-critical business operations
  • Integrate AI/ML models into a fully functioning AI business software
  • Understand business requirements and propose AI software solutions to meet them
  • Understand the data set used for modeling, prepare and preprocess data sets for AI/ML modeling
  • Document data dictionary, data understanding, software architecture, and build company's knowledge base of data and AI/ML software
  • Build and maintain secure web applications to ensure efficient and effective customer delivery
  • Work with internal and external clients to define new features that will drive our business successfully
  • Design strategy and contribute to the internal development platforms, tools, and processes for business growth
  • Design software architecture
  • Develop/design/implement highly scalable systems using machine learning, computer vision, natural language processing, operational research, etc.
  • Interact, deliver, and present AI software to business clients
  • Collaborate with team members to develop both client and server functionalities
  • Communicate effectively with team members, management, and clients
Requirements:
  • At least 3 years' experience in software development and architecture
  • Proven ability to work with large structured and unstructured datasets
  • Demonstrable, hands-on experience in developing software using machine learning and deep learning, image processing, natural language processing, and speech recognition
  • Excellent hands-on code development skills in Python
  • Good knowledge of Machine Learning frameworks and packages, including Keras, TensorFlow, MXnet, Scikit-Learn and cloud technology (Amazon, Azure, etc.)
  • Experience in building scalable web applications
  • Proficiency with Python, JavaScript, HTML5, CSS3
  • Experience in developing machine learning software, data processing, and working with cloud computing such as AWS
  • BS or above in Computer Science
Additional Qualifications:
  • Parallel and distributed processing experience is a plus
  • Expertise in data Extraction Transformation and Loading (ETL) (Spark, Hadoop, SQL) in big data environments is a strong plus
  • Domain knowledge in financial and insurance industries is a big plus