AI Engineer (B2B)

Responsibilities

• Support our clients during the successful development and implementation of complex solutions for Data Analytics and Machine learning applications. 
• Through the power of distributed open source and cloud technologies, provide scalable, cost efficient and flexible solutions for our customers. 
• Use your software engineering expertise to provide clean and scalable solutions. 
• Work to iteratively improve and expand machine learning and data driven applications using the latest tools and methodologies in software lifecycle management. 
• Communicate regularly in an efficient and professional manner with our customers and stakeholders 

Qualifications

• We are looking forward to your completed studies in computer science, mathematics, physics, or a similar qualification.
• Programming experience using languages such as Python, Java, and Scala (especially Python).
• Cloud (AWS and/or Azure) - must have experience.
• MLOps frameworks and methodologies (Seldon, Kubeflow, MLflow, Azure or Bedrock tech stack).
• Hands-on GenAI use- cases and technologies such as Langchain, OpenAI, Bedrock, RAG use cases, multi-agent architectures.
• Modern development practices (CI/CD, DevOps, GitOps, Agile, etc).
• Strong analytical and problem-solving skills.
• Very good English skills round off your profile.
• Availability to work in a hybrid mode with at least 1 visit in the office per month.
• Interest in working on GenAI, Data Platform and Data Engineer project.

About Data Reply

Data Reply, as part of the Reply Group, offers a wide range of services to help customers to become data driven. The team is active in various industries and business areas and works closely with clients to enable them to achieve meaningful results through the effective use of data. Data Reply offers many years of experience in transformation projects on the topic of "Data Driven Enterprise". Our experts focus on the development of Streaming and Event-Driven applications, Data Platforms and Machine Learning solutions - automated, efficient and scalable - without compromising IT security.