LLC "Ukrnaftagazservice" is a Ukrainian service company that provides production and technological services for drilling and major repairs of oil and gas wells, as well as directional drilling services throughout Ukraine. In our work, we use only high-quality and reliable downhole tools from the Canadian company Wenzel Downhole Tools, a recognized leader in downhole drilling equipment manufacturing, and the MWD system from Bench Tree.
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ML Architect (Azure AI / RAG)
Hybrid Remote · Worldwide · Product · 3 years of experience · B2 - Upper IntermediateAbout the project: We are building a corporate AI Assistant powered by Microsoft Azure and OpenAI technologies. The system helps employees search, analyze, and generate internal documents. The long-term goal is to extend AI Assistant capabilities across...About the project:
We are building a corporate AI Assistant powered by Microsoft Azure and OpenAI technologies. The system helps employees search, analyze, and generate internal documents. The long-term goal is to extend AI Assistant capabilities across all company departments.
To strengthen our team, we are looking for an experienced ML Architect (Azure AI / RAG) who will design and implement the machine learning architecture, integrate AI models, and ensure production-level performance and reliability.
Responsibilities:
• Design and implement AI architecture on Microsoft Azure (Azure ML, Cognitive Search, OpenAI, Databricks).
• Build and manage RAG pipelines (Retrieval-Augmented Generation) and vector search systems.
• Develop and optimize ML pipelines for embeddings, data preprocessing, and model evaluation.
• Collaborate with DevOps and Data Engineer teams to ensure seamless integration and deployment.
• Establish and maintain MLOps practices (model versioning, evaluation, monitoring).
• Define and track AI performance metrics (latency, precision, recall, cost per request).
• Create documentation (ADR, architecture diagrams, experiment tracking).Requirements:
• 3+ years of experience in Machine Learning / AI / Data Engineering.
• Strong background with Microsoft Azure ML / Cognitive Search / Databricks / OpenAI.
• Proficiency in Python, FastAPI, LangChain / LlamaIndex, MLflow, Airflow.
• Hands-on experience with vector databases (FAISS, Pinecone, pgvector, Cognitive Search).
• Understanding of RAG, embeddings, prompt optimization, LLM orchestration.
• Experience building MLOps / CI-CD for ML models in production.
• English — Upper-Intermediate+ (for documentation and collaboration).Will be a plus:
• Experience with Azure OpenAI Service, Azure Document Intelligence.
• Knowledge of data governance, PII protection, cost optimization.
• Background in AI-driven enterprise automation or corporate assistants.We offer:
• Opportunity to design a core AI architecture from scratch and influence all key technical decisions.
• Participation in a high-impact AI transformation project that scales across multiple departments.
• Remote or hybrid work format, flexible schedule.
• Transparent B2B / contract cooperation.
• Supportive and technically strong team (DevOps, Data, Product).How to apply:
Send your CV.
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