Role Description Join a leading data & AI consultancy building production-grade ML and GenAI solutions across industries, with a strong focus on analytics, forecasting, and AI transformation. This role sits at the intersection of Data Engineering, ML Engineering, and GenAI, working closely with Data Science teams to take models from prototype to production at scale. This is not research — this is industrialized AI systems in real-world environments. What You'll Do - Deploy ML models into production environments - Design and implement GenAI / LLM-based solutions - Build and manage: - Data pipelines (Spark / Databricks) - ML lifecycle systems - MLOps / LLMOps frameworks - Support Data Science teams in: - Production readiness - Best practices - Present solutions and create technical documentation - Work cross-functionally with engineering and business stakeholders Ideal Candidate Profile - Has taken ML/GenAI models from prototype to production - Strong in data pipelines, ML systems, and cloud integration - Comfortable working with: - Data Scientists - Business stakeholders - Thinks in scalability, reliability, and systems design - Bonus: - Experience building MLOps frameworks from scratch - Consulting / client-facing exposure - Strong documentation and presentation skills Requirements - 5+ years in Data Engineering / Backend / ML Engineering - 5+ years writing production-grade Python - 3+ years working with ML systems in production - 1+ year hands-on GenAI / LLM experience - Practical experience with: - MLOps / LLMOps (Azure ML / Azure AI preferred) - Databricks + Spark/PySpark - Cloud (Azure or GCP) Tech Stack - Python - Databricks - Spark / PySpark - Azure ML / Azure AI (or GCP equivalents) - MLOps / LLMOps tools - GenAI / LLM pipelines Compensation & Benefits - PLN 288,000 – 316,800 annually - 110+ trainings + Udemy access - Strong internal career growth (76% internal promotions) - Workation policy + flexible work model - Inclusive, DEI-driven environment Location & Eligibility - Remote within Poland - Must be based in Poland - Must have valid work authorization - No visa sponsorship Why This Role - Work on end-to-end ML & GenAI systems (production focus) - Collaborate with Data Science teams to operationalize models - Build LLM-powered solutions and scalable pipelines - Shape MLOps / LLMOps best practices across teams - Join a structured environment with strong learning & growth culture

Role Description Join a leading data & AI consultancy building production-grade ML and GenAI solutions across industries, with a strong focus on analytics, forecasting, and AI transformation. This role sits at the intersection of Data Engineering + ML Engineering + GenAI, working closely with Data Science teams to take models from prototype to production at scale. This is not research — this is industrialized AI systems in real-world environments. Location: Remote | Poland Compensation: PLN 288,000 – 316,800 / year Job Type: Full-time What You'll Do - Deploy ML models into production environments - Design and implement GenAI / LLM-based solutions - Build and manage: - Data pipelines (Spark / Databricks) - ML lifecycle systems - MLOps / LLMOps frameworks - Support Data Science teams in: - Production readiness - Best practices - Present solutions and create technical documentation - Work cross-functionally with engineering and business stakeholders Qualifications - Has taken ML/GenAI models from prototype to production - Strong in data pipelines + ML systems + cloud integration - Comfortable working with: - Data Scientists - Business stakeholders - Thinks in scalability, reliability, and systems design Requirements - 5+ years in Data Engineering / Backend / ML Engineering - 5+ years writing production-grade Python - 3+ years working with ML systems in production - 1+ year hands-on GenAI / LLM experience - Practical experience with: - MLOps / LLMOps (Azure ML / Azure AI preferred) - Databricks + Spark/PySpark - Cloud (Azure or GCP) Tech Stack - Python - Databricks - Spark / PySpark - Azure ML / Azure AI (or GCP equivalents) - MLOps / LLMOps tools - GenAI / LLM pipelines Benefits - PLN 288,000 – 316,800 annually - 110+ trainings + Udemy access - Strong internal career growth (76% internal promotions) - Workation policy + flexible work model - Inclusive, DEI-driven environment Location & Eligibility - Remote within Poland - Must be based in Poland - Must have valid work authorization - No visa sponsorship Why This Role - Work on end-to-end ML & GenAI systems (production focus) - Collaborate with Data Science teams to operationalize models - Build LLM-powered solutions and scalable pipelines - Shape MLOps / LLMOps best practices across teams - Join a structured environment with strong learning & growth culture If you want to turn AI models into real-world systems — combining data, ML, and GenAI into scalable production pipelines — this is where you build that impact. Apply now...

Role Description Join a leading data & AI consultancy delivering production-grade AI and automation solutions across enterprise environments. This role blends hands-on AI engineering and team leadership, focusing on building and scaling AI agents, automation workflows, and reliable AI systems. This is not a purely strategic role — this is a builder-lead position combining execution and mentorship. Location: Remote | Poland Compensation: PLN 230,400 – 268,800 / year Job Type: Full-time Qualifications - Hands-on engineer who moved into leadership (not purely managerial) - Has built AI automation systems in production - Strong in MLOps, infrastructure, and AI integration - Comfortable mentoring engineers - Explaining technical concepts to non-technical stakeholders Requirements - Proven experience delivering production-grade AI / automation systems - Strong hands-on experience with AI agents, pipelines, and workflows - Solid MLOps / DevOps foundation: - Kubernetes (AKS preferred) - Containerization (Docker) - Linux systems - Azure cloud - Ability to lead and mentor engineers - Work cross-functionally - Strong communication and ownership mindset Benefits - PLN 230,400 – 268,800 annually - 110+ trainings + Udemy access - Strong internal growth (76% managers promoted internally) - Workation + flexible work model - Inclusive, DEI-driven culture Location & Eligibility - Remote within Poland - Must be based in Poland - Must have valid work authorization - No visa sponsorship Why This Role - Build and deploy real-world AI agents and automation systems - Lead and mentor engineers while staying hands-on technically - Work cross-functionally to drive AI adoption across the organization - Join a stable, growth-oriented company with a strong learning culture - Shape how AI is applied practically across business operations

Role Description We are seeking an AI Solutions Developer with deep experience across the Microsoft Power Platform and Azure AI ecosystem. This role focuses on designing, building, and deploying AI‑powered business applications using Power Apps, AI Builder, Power Automate, and Azure AI Foundry. The ideal candidate blends low‑code solution development with strong technical understanding of modern AI models, data integration, and enterprise architecture. This is a hands‑on role responsible for turning business problems into scalable, secure, AI‑driven applications. - Build end‑to‑end business applications using Power Apps (canvas and model‑driven) with integrated AI capabilities. - Develop, train, and deploy AI Builder models including document processing, prediction, classification, object detection, and generative AI features. - Design and orchestrate Azure AI Foundry solutions, including GPT‑4/4o models, embeddings, vector search, prompt flows, and evaluation pipelines. - Integrate Azure AI models with Power Apps and Power Automate using custom connectors, RESTAPIs, and Dataverse. - Create secure, governed, and scalable AI architectures aligned with enterprise standards. - Implement prompt engineering best practices, including grounding data, safety controls, and iterative evaluation. - Collaborate with business stakeholders to translate requirements into AI‑enabled workflows and applications. - Apply responsible AI principles, including bias mitigation, data privacy, and model monitoring. - Support ALM processes using GitHub or Azure DevOps for Power Platform solutions. - Troubleshoot, optimize, and continuously improve AI models and application performance. Qualifications - Strong experience building applications with Power Apps, Power Automate, and Dataverse. - Hands‑on expertise with AI Builder, including model configuration, training, and deployment. - Practical experience with Azure AI Foundry (Azure AI Studio), including: - GPT‑4/4o models - Embeddings and vector search - Prompt flow - Cognitive Services (Vision, Language, Speech, Search) - Ability to design and consume REST APIs and integrate them into Power Platform solutions. - Solid understanding of data preparation, feature engineering, and model evaluation. - Familiarity with Power Platform governance, environment strategy, and DLP policies. - Working knowledge of Azure security (managed identities, Key Vault, role‑based access). - Experience with ALM pipelines for Power Platform (GitHub Actions or Azure DevOps). - Scripting experience in Power Fx, JavaScript, and/or Python. Company Description Join our team at MetaRPO and embark on a journey of growth and innovation.