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Bolsterup

Bolsterup is a tech-focused company specializing in data and machine learning solutions, currently seeking to expand its team with a Data & Machine Learning Specialist.

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Jobs at this company:

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🔥 Senior Frontend Developer (React)
Posted 12 days ago

📍 Cyprus, Greece, Spain, Philippines

🧭 Full-Time

🔍 Contech SaaS

  • 5+ years of professional experience as a frontend developer with ReactJS
  • Strong knowledge of Next.js for SSR and SSG
  • Experience with Tailwind CSS, Material-UI, Acerternity, MagicUI
  • Solid understanding of JavaScript (ES6+), TypeScript, HTML5, and CSS3
  • Experience with state management libraries like Redux, Recoil, Context API
  • Familiarity with RESTful APIs and GraphQL integrations
  • Design, develop, and maintain web applications using ReactJS
  • Implement server-side rendering and static site generation with Next.js
  • Lead migration from Create React App to Next.js
  • Build real-time chat interfaces for AI chatbot interactions
  • Collaborate with UI/UX designers for user-friendly interfaces
  • Optimize applications for speed and accessibility
  • Conduct code reviews and mentor junior developers

GraphQLAgileCypressHTMLCSSJavascriptJestReact.jsTypeScriptReduxNext.jsRESTful APIs

Posted 12 days ago
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🔥 Google Cloud AI & Data Science Engineer (Dialogflow, Vertex AI, & Multimodal AI)
Posted 16 days ago

📍 Cyprus, Greece, Spain

🔍 SaaS

  • 3+ years of hands-on experience with Dialogflow CX, including complex conversation flows, fulfillment, and webhook integrations.
  • Strong expertise in Vertex AI (model training, fine-tuning, LLMs, embedding techniques, and API usage).
  • Experience in data science, statistical modeling, and machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • Solid experience with Google Cloud Platform (GCP) services such as Cloud Functions, Cloud Run, Pub/Sub, and BigQuery.
  • Experience designing production-ready AI services, including API gateways, databases, job batching, and cloud-based workflows.
  • Proficiency in Python or Node.js for AI integration, data processing, and backend development.
  • Expertise in handling large unstructured datasets, including natural language processing (NLP), computer vision, and deep learning.
  • Understanding of AI ethics, bias reduction, and responsible AI deployment.
  • Experience working with RESTful APIs, GraphQL, and third-party AI integrations.
  • Knowledge of multimodal AI (text, speech, image, and video processing) within Google AI systems.
  • Strong problem-solving skills, with the ability to optimize AI models for performance and scalability.
  • Develop & Optimize AI Agents: Design and implement AI-driven conversational experiences using Dialogflow CX, integrating with Vertex AI for advanced NLP, LLM capabilities, and multimodal interactions.
  • Custom AI Model Training & Data Science: Develop and train custom AI models using structured and unstructured data, leveraging Vertex AI, TensorFlow, PyTorch, and AutoML.
  • Data Processing & Analysis: Work with large-scale datasets, performing data preprocessing, feature engineering, and AI-driven insights generation.
  • Cloud Architecture & Deployment: Architect scalable AI solutions within Google Cloud Platform (GCP), ensuring high availability, performance, and cost efficiency.
  • Production-Ready AI Services: Design and deploy scalable and efficient AI services, including setting up API gateways, databases, job batching systems, and cloud-based service layers.
  • Multimodal AI Capabilities: Build AI solutions that process text, speech, image, and video data, integrating APIs and Google’s AI agent ecosystem.
  • AI-Driven Insights & Predictive Analytics: Apply machine learning techniques for predictive analytics, recommendation systems, and anomaly detection.
  • API Development & Integration: Develop backend services and APIs to integrate AI models with customer applications, ensuring seamless data flow.
  • Infrastructure & Resource Management: Set up and maintain serverless and containerized deployments, including Cloud Run, Kubernetes, and managed database solutions.
  • Testing & Validation: Implement automated testing, model validation, and AI evaluation frameworks to ensure accuracy and responsiveness.
  • Security & Compliance: Ensure AI models comply with data privacy regulations (GDPR, HIPAA, etc.) and industry best practices.
  • Collaboration & Documentation: Work closely with product managers, developers, and stakeholders to align AI implementations with business objectives. Maintain detailed documentation of AI workflows, architectures, and model training processes.

DockerGraphQLNode.jsPythonGCPKubernetesMachine LearningPyTorchData scienceTensorflowRESTful APIs

Posted 16 days ago
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