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AI Integration Specialist - UK or India - Vestd

Posted 6 days agoInactiveViewed

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💎 Seniority level: Senior, 3–5 years

📍 Location: United Kingdom, India

🔍 Industry: Software Development

🏢 Company: Vestd👥 1-10InternetLegalSocial EntrepreneurshipFinTechSharing Economy

🗣️ Languages: English

⏳ Experience: 3–5 years

🪄 Skills: AWSBackend DevelopmentDockerLeadershipPythonSoftware DevelopmentSQLArtificial IntelligenceAWS EKSCloud ComputingFrontend DevelopmentFull Stack DevelopmentImage ProcessingMachine LearningAPI testingData engineeringData scienceCI/CDRESTful APIsMentoringMicroservicesExcellent communication skillsCross-functional collaborationStrategic thinkingData modelingData analyticsEnglish communication

Requirements:
  • 3–5 years of software development experience, focusing on AI or machine learning
  • Demonstrable experience building AI or ML applications (e.g. computer vision, NLP, recommender systems)
  • Strong understanding of the AWS ecosystem (Lambda, S3, AI/ML services, etc.)
  • Ability to build full-stack applications from scratch, including data handling and basic front-end interfaces
  • Excellent English communication skills (written and verbal) are essential
  • Proven ability to motivate, influence, and align cross-functional teams without direct authority
  • Impeccable attention to detail and a high degree of accuracy
Responsibilities:
  • Serve as the internal AI expert, guiding the organisation’s AI strategy and best practices
  • Mentor and influence team members across different departments, even without direct authority
  • Work with senior business leaders to define and implement the business’ broader strategy for AI implementation in all areas of the business
  • Collaborate with Product, Analytics, and Support teams to understand requirements and recommend AI-driven solutions
  • Communicate complex technical concepts to non-technical stakeholders
  • Evaluate and integrate third-party AI platforms and APIs as needed
  • Build or customize AI-driven modules for internal team use and integration in the production platform.
  • Design, develop, and deploy robust AI solutions on AWS, ensuring scalability and security
  • Set up and manage EC2 instances, virtual GPUs, and related cloud services
  • Develop basic GUIs for internal team use, managing end-to-end workflows—from data ingestion and processing to user-facing features
  • Maintain clear documentation on AI models, integrations, and processes
  • Keep up-to-date with the latest AI technical research, general trends, and tools to drive continuous innovation
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