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AI and Data Science Specialist Expert at Vodafone United States
Budapest, Central Hungary, Hungary -
Full Time

Start Date

Immediate

Expiry Date

03 Mar, 26

Salary

0.0

Posted On

03 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

AI Solutions, B2B Consulting, Sales Support, LLMs, RAG Pipelines, Intelligent Agents, Data Engineering, Python, Machine Learning, Predictive Models, Recommendation Engines, APIs, AWS, Spark, Data Pipelines, Unstructured Data

Industry

Telecommunications

Description
Design and deploy AI solutions for B2B consulting and sales support, leveraging LLMs, RAG pipelines, and intelligent agents. Collaborate with cross-functional teams to identify business challenges and translate them into scalable AI workflows. Collect and preprocess structured and unstructured data for model training and retrieval systems. Develop predictive models and recommendation engines to deliver actionable insights. Continuously refine AI models and pipelines for performance and reliability. Stay ahead of AI trends and share knowledge to drive innovation within the team. Building production-ready APIs and scalable AI architectures. Degree in Data Science, Computer Science, Statistics, Mathematics, or related field. Proven experience in developing and implementing machine learning models, preferably in B2B or telecom contexts. Strong hands-on experience with Python, RAG, LLMs, AI Agents, and Git. Solid data engineering skills, including data pipelines and unstructured data handling. Ability to design retrieval logic, embeddings, chunking, and evaluation. Experience building production-ready APIs and services. Optional: Spark, AWS cloud services, and scalable data architectures. Proactive mindset with clean engineering practices and ability to simplify complex AI problems. Fluent English required; conversational German is a plus.

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Responsibilities
Design and deploy AI solutions for B2B consulting and sales support. Collaborate with cross-functional teams to identify business challenges and translate them into scalable AI workflows.