6 days ago

AI Expert

NTT DATA Europe & Latam

On Site
Contractor
€110,000
Cluj-Napoca, Cluj, Romania

Job Overview

Job TitleAI Expert
Job TypeContractor
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary€110,000
LocationCluj-Napoca, Cluj, Romania

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Job Description

What Awaits You

We are seeking a highly skilled AI Expert with a strong background in machine learning and data engineering to join our innovative team at BMW Financial Services.

The ideal candidate will have extensive experience in developing AI-driven solutions, particularly leveraging large language models (LLMs) and generative AI technologies.

You will be responsible for designing, developing, and maintaining AI applications that enhance decision-making processes application ecosystem. This includes expanding our natural language to SQL conversion capabilities, speech-to-text functionalities, and developing an agentic AI system capable of answering business questions in the leasing area and assisting end users with leasing contract issues.

Key Responsibilities

  • Design and develop scalable AI applications that integrate seamlessly with our Java/Quarkus backend and Angular frontend systems.
  • Implement machine learning models and algorithms to solve complex business problems in the financial services domain.
  • Enhance existing Retrieval Augmented Generation (RAG) and natural language to SQL conversion solutions for financial data analysis.
  • Develop and optimize speech-to-text and text-to-speech components for improved user interaction.
  • Design and implement an agentic AI model capable of answering FAQs and identifying issues with leasing contracts.
  • Create AI capabilities to detect vehicle mileage overruns and suggest appropriate contract changes.
  • Architect and build AI solutions that can access and analyze data from Snowflake databases.
  • Collaborate with product owners and stakeholders to gather requirements and translate them into technical specifications.
  • Ensure AI solutions adhere to ethical guidelines and maintain data privacy standards.
  • Maintain and enhance existing AI applications, ensuring optimal performance and user experience.
  • Participate in code reviews, providing constructive feedback to peers and ensuring adherence to best practices.
  • Utilize DevOps practices to automate deployment and improve the CI/CD pipeline for AI components.
  • Stay updated with emerging AI technologies and industry trends to continuously improve our development processes.
  • Design evaluation frameworks to measure the effectiveness and accuracy of AI solutions.

What Should You Bring Along

  • Bachelor's Degree in Computer Science, Engineering, Artificial Intelligence, or a related field.
  • Minimum of 5-7 years of experience in software development, with at least 3 years focused on AI and machine learning.
  • Strong proficiency in Python and Java, with experience in frameworks such as Spring Boot and Quarkus.
  • Experience with large language models (GPT, Claude, etc.) and their integration into enterprise applications.
  • Deep understanding of Retrieval Augmented Generation (RAG) architecture and vector databases.
  • Experience developing natural language processing solutions, particularly text-to-SQL and conversational AI.
  • Knowledge of speech-to-text and text-to-speech technologies and their implementation.
  • Experience designing and implementing agentic AI systems capable of autonomous decision-making.
  • Knowledge of containerization and orchestration tools like Docker and Kubernetes and Infrastructure as Code (Terraform).
  • Understanding of AI model deployment in production environments.
  • Experience with prompt engineering and fine-tuning of large language models.
  • Deep understanding of cloud architecture and AWS services (ECS, S3, etc.).
  • Experience with monitoring and observability tools (Prometheus, Grafana, ELK).
  • Proficiency in DevOps practices and CI/CD pipeline implementation.
  • Proficiency with version control systems (Git) and build tools (GitHubActions).
  • Excellent English verbal and written skills.
  • German communication skills will be a plus.

What do we offer?

  • Challenging projects with which we are shaping the mobility of tomorrow.
  • Great team spirit within an international team.
  • State-of-the-art global IT landscape and processes.
  • 100% implementation of the Agile Working Model methodology.
  • Wide range of personal & professional development opportunities.
  • High level of job security.
  • Work-Life-Balance and flexible working hours.
  • Attractive and performance-related remuneration.
  • Dynamic and highly-motivating work environment.

At BMW TechWorks Romania, we view diversity and inclusion in all its forms as a cornerstone of our team's strength. Equal opportunities are a priority, and fair treatment of all applicants and employees is a fundamental principal of our corporate policy. Our recruitment decisions ensure a balanced and inclusive approach, valuing our people’s different personalities and skills, experience and viewpoints, regardless of sexual orientation, national origin or citizenship, gender identity, age, race, color, ethnicity, religion, or disability.

Key skills/competency

  • Machine Learning
  • Generative AI
  • Large Language Models (LLMs)
  • Data Engineering
  • Python
  • Java
  • Retrieval Augmented Generation (RAG)
  • AWS Services
  • DevOps
  • Kubernetes

Tags:

AI Expert
AI solution design
LLM integration
RAG enhancement
NLP development
agentic AI
financial data analysis
ethical AI
performance optimization
CI/CD
stakeholder collaboration
Python
Java
Spring Boot
Quarkus
GPT
Claude
Snowflake
AWS
Docker
Kubernetes
Terraform
Prometheus
Grafana
Git

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How to Get Hired at NTT DATA Europe & Latam

  • Research NTT DATA Europe & Latam's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor, focusing on their innovation in financial services.
  • Tailor your resume for AI Expert roles: Highlight extensive experience with LLMs, RAG, Python, Java, AWS, and financial domain application development.
  • Prepare for technical interviews: Focus on AI architecture, machine learning algorithms, data engineering principles, and cloud platform expertise, especially AWS services.
  • Showcase problem-solving skills: Be ready to discuss specific instances where you designed and implemented AI solutions for complex business challenges.
  • Demonstrate domain knowledge: Understand financial services, particularly leasing, and articulate how AI can drive improvements in these specific areas.

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