Our customer's product is an AI-powered platform that helps businesses make better decisions and work more efficiently. It uses advanced analytics and machine learning to analyze large amounts of data and provide useful insights and predictions.
Requirements
- Bachelor’s or Master’s degree in Computer Science or related field
- 4+ years of hands-on experience with Machine Learning and production LLM systems
- Strong ML fundamentals: transformers, prompt engineering, embeddings, vector search
- Backend API experience with FastAPI, async patterns, and rate limiting
- Experience with vector databases (Pinecone, Weaviate, Chroma) and hybrid search
- Advanced Python skills: async/await, type hints, Pydantic, SOLID principles
- MLOps experience: MLflow, model versioning, A/B testing; Langfuse preferred
- NLP & computer vision experience: document understanding, OCR, GPT-4 Vision
- Experience building feature pipelines, real-time & batch inference, and model serving
- Familiarity with HuggingFace (required); LangChain / LlamaIndex preferred
- Understanding of DevOps, CI / CD including: Docker containerization, Azure DevOps pipelines or GitHub Actions, Kubernetes (nice to have)
- Data security including: Multi-tenant data isolation, Secure key management (Azure Key Vault), Audit trail implementation
- Experience in designing on cloud platform including: Azure (strongly preferred): Azure OpenAI, Blob Storage, Key Vault, Container Registry, AWS or GCP
- Experience in data engineering in Big Data systems including: Large-scale data processing, ETL/ELT pipelines
Benefits
- Employment-based cooperation
- Awesome projects with an impact
- Comprehensive insurance for you and your family (health, life, and accident)
- Paid PTO policy (vacation, sick leaves, and public holidays)
- Tech equipment provided
- Udemy courses, workshops, trainings & expert knowledge-sharing
- Clear career path
- Flexible hours & work setup