Company Background
The company is a UK-based cloud contact center platform that empowers organizations to connect with their customers more effectively. Known for its scalability, reliability, and compliance-focused features, the platform provides omnichannel communication tools including voice, SMS, email, and social messaging. It serves a wide range of industries, helping businesses improve customer engagement, streamline workflows, and boost agent productivity through advanced automation and AI-driven analytics.
Project Description
Conversational AI project focused on optimizing customer interactions using advanced NLP techniques and AI-driven analytics. This initiative leverages state-of-the-art machine learning models and scalable cloud infrastructure to extract actionable insights from conversational data, enabling businesses to better understand and serve their customers.
What You'll Do
- Apply theoretical NLP and LLM knowledge to design advanced language understanding components;
- Design and develop robust AI pipelines for key conversational analytics features;
- Optimize ML models and inference pipelines for performance and cost-efficiency;
- Research and integrate state-of-the-art LLM architectures (e.g., BERT, T5, GPT) and methodologies (prompt engineering, embeddings, zero-/few-shot learning);
- Collaborate on the architecture and deployment of AI components using Docker and Azure services;
- Maintain and monitor AI systems;
- Contribute to continuous improvement of model accuracy, latency, and explainability;
- Participate in code reviews, documentation, and team knowledge sharing;
The global benefits package includes: * Technical and non-technical training for professional and personal growth; * Internal conferences and meetups to learn from industry experts; * Support and mentorship from an experienced employee to help you professional grow and development; * Internal startup incubator; * Health insurance; * English courses; * Sports activities to promote a healthy lifestyle; * Flexible work options, including remote and hybrid opportunities; * Referral program for bringing in new talent; * Work anniversary program and additional vacation days.
Technologies
- Python
- LangChain/LangGraph
- OpenAI API
- Azure Services SDKs
- PyTorch
- Transformers
- BertTopic
- Azure DevOps
- Docker
- App Insights
- MIG
Job Requirements
- 5+ years of experience working as a developer;
- Solid theoretical foundation in NLP;
- Strong Python skills and experience building NLP/ML pipelines in production environments;
- Experience developing and deploying ML systems in cloud environments (preferably Azure);
- Hands-on experience with containerization (Docker) and orchestration tools;
- Solid understanding of distributed systems and asynchronous messaging (Azure Service Bus);
- Familiarity with CI/CD workflows and version control using Azure DevOps;
- Knowledge of English - from Upper-Intermediate;
Preferred Qualifications
- Experience optimizing ML systems for cost and performance at scale;
- Familiarity with Azure Cloud Services like Azure Batch, VMs, Blob Storage, Compute Gallery, and App Configuration, etc.;
- Experience with model monitoring, observability, and analytics;
- Background in developing customer-facing or enterprise AI applications;
- Experience with LLM fine-tuning, instruction tuning, RAG and AI-powered chatbots;
- Familiarity with evaluation metrics for generative and classification NLP models;
