AI Innovation Leader

3 days ago

Dublin, Dublin City, Ireland beBeeLead Full time €96,000 - €124,000
Job Title

A Lead AI Engineer is required to spearhead the development and deployment of cutting-edge AI microservices that transform prototype notebooks into robust, production-ready components.

Responsibilities
  • Design, build, and scale AI microservices with a focus on modularity, scalability, and reusability to support various business units and applications.
  • Drive the transition of AI models from experimental phases into hardened, production-grade components and services, ensuring performance, reliability, and maintainability.
  • Implement robust APIs for AI microservices, facilitating seamless integration with existing platforms and external systems.
  • Identify and address performance bottlenecks within AI microservices and their underlying infrastructure, optimizing for latency, throughput, and cost-efficiency.
  • Collaborate with data scientists, MLOps engineers, and product teams to translate business requirements into technical specifications for AI services.
  • Mentor junior engineers on best practices for AI software development and scaling.
  • Implement rigorous testing strategies, including unit, integration, and performance testing, to ensure the quality, accuracy, and stability of deployed AI microservices.
  • Research and evaluate new technologies, frameworks, and methodologies related to AI software development, microservices, and large-scale data processing to continuously improve capabilities.
  • Ensure all AI microservices adhere to security standards, compliance policies, and ethical AI principles.
Requirements
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field. Master's degree preferred.
  • Minimum 8 years of experience in software development, with at least 4 years focused on building and deploying AI/ML-powered applications or microservices in production environments.
  • Strong proficiency in Python.
  • Extensive experience in designing, developing, and deploying RESTful APIs and microservices.
  • Familiarity with feature stores, model registries, and inference patterns.
  • Solid understanding of the AI/ML lifecycle, from data preparation and model training to deployment and monitoring.
  • Experience with cloud platforms and their relevant compute, storage, and AI/ML services.
  • Proficiency with containerization technologies.
  • Familiarity with CI/CD pipelines for automated testing and deployment of software and AI models.
  • Experience with distributed computing frameworks (e.g., Spark, Dask) is a plus.
  • Understanding of data governance, data quality, and data security principles relevant to AI/ML applications.
  • Excellent communication, interpersonal, and stakeholder management skills.
  • Proven ability to lead technical initiatives and drive cross-functional projects.

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