AI/ML Engineer

Egyéb juttatások
- Cafeteria
- Egészségbiztosítás
Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
Elvárt technológiák
- PYTHON AZURE SPARK CRM
Elvárások
- Angol középfok
- 3-5 év tapasztalat
- Főiskola

Állás elmentve

A hirdetést eltávolítottuk a mentett állásai közül.

Architect and implement scalable AI/ML solutions on Azure or GCP
Design and build AI solutions for sales use cases such as automated RFP/RFI ingestion, classification, and response generation
Design and build intelligent document understanding solutions
Design and build knowledge retrieval systems across product documentation, contracts, and past proposals
Develop sales assistant capabilities powered by LLMs
Develop and deploy LLM-based systems using prompt engineering, fine-tuning, and retrieval-augmented generation
Integrate ML and GenAI solutions with enterprise platforms such as CRM systems, document repositories, collaboration tools, and workflow engines
Drive the evolution of successful PoCs into robust MVPs for sales and pre-sales teams
Implement MLOps practices including CI/CD for ML, infrastructure-as-code, model versioning, and automated retraining and deployment pipelines
Provide technical guidance, code reviews, and architectural support to AI engineers
Mentor and lead a distributed AI engineering team
Stay ahead of emerging AI trends, tools, and frameworks

Bachelor’s, Master’s or PhD in Computer Science, Engineering, Mathematics or related quantitative field
3+ years of experience in ML engineering or AI solution development with production deployments
Familiarity with Azure data & AI services or GCP equivalents
Strong experience with GenAI systems including LLMs, prompt engineering, fine-tuning, MCP and retrieval-augmented generation
Familiarity with agentic or multi-agent system concepts and architectures
Strong programming skills in Python
Self-starter mindset with passion for innovation and experimentation
Excellent communication skills in English

Hands-on experience with document AI, NLP, semantic search, or knowledge graph solutions
Experience with CI/CD pipelines for ML and infrastructure-as-code
Exposure to MLOps practices and tools
Hands-on Spark/Databricks expertise
Experience building PoCs and MVPs in AI/ML contexts
Familiarity with data engineering fundamentals for preparing and curating datasets
Experience acting as a technical lead and guiding other engineers

Hybrid working with weekly 2 office days and flexible working hours
Financial benefits including cafeteria, referral reward, and team or individual rewards
Corporate health insurance package with nationwide coverage
Carefully designed career paths with training courses and projects
Language courses, tech talks and trainings
Lufthansa Group flight ticket discounts