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AI/ML Engineer
1 420 - 2 775€
Описание вакансии
Текст:
TL;DR
Ai/Ml Engineer (AI): Building scalable AI solutions for an enterprise digital platform with an accent on automation, predictive insights, and data-driven decision-making. Focus on designing and delivering production-grade AI models, integrating LLMs, and improving operational efficiency through AI-driven automation.
Location: Worldwide, fully remote or hybrid options available
Salary: €1420–€2775 per month (gross), final compensation depends on experience and location
Company
cooperates with global leaders in FinTech, Healthcare, Retail, Telecom, and other industries, including Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, and more.
What you will do
- Convert manual processes to fully or partially automated AI-driven workflows.
- Improve operational efficiency and reduce repetitive manual work for operations teams.
- Develop predictive models for answering questions and cost forecasting based on historical data.
- Build chatbot-style task automation using LLMs and AI agents.
- Collaborate closely with product, backend, and data teams to ensure measurable business impact.
Requirements
- 8+ years experience in Data Science, AI, or related fields
- Hands-on experience with LLMs, AI agent frameworks (LangChain, LangGraph, LangSmith), prompt engineering, and RAG.
- Proven ability to design, train, and deploy ML models in production environments.
- Strong coding skills in Python and familiarity with ML frameworks like TensorFlow and PyTorch.
- Experience with cloud platforms, preferably Azure, for AI model deployment.
- English level: Intermediate+ or higher
Nice to have
- Programming experience in Java.
- Knowledge of MLOps practices including model versioning, monitoring, and CI/CD pipelines.
- Experience with Python application architecture for production, microservices, and frameworks like FastAPI.
- Skills in infrastructure as code, especially in Azure environment using BICEP.
- Experience with automated production-grade deployments of AI/LLM models.
Culture & Benefits
- Flexible work conditions: fully remote, office, or hybrid options.
- Professional, financial, and career growth with mentoring and adaptation systems.
- Access to corporate training portal and certification compensation.
- Private health insurance and sports activity compensation.
- English courses and vibrant corporate life with social events and perks.
- Referral program and opportunity to earn additional bonuses based on expertise.