Experience:

• 4.5–8 years of experience in software engineering
• At least 4+ years focused on AI/ML development including generative AI, LLM-based systems, and agentic AI architectures

Qualification:

• Full-time Bachelor’s and/or Master’s degree in Engineering with a minimum of 60% grade

Responsibilities:

• Architect, implement, and optimize AI/ML models for NLP, computer vision, predictive analytics, generative AI, and agentic AI workflows
• Build scalable pipelines for data ingestion, model training, evaluation, and inference
• Deploy models to production environments ensuring performance, reliability, security, and compliance
• Mentor junior engineers and review code
• Contribute to architectural decisions
• Collaborate with product managers, data scientists, and DevOps teams to integrate AI into business applications
• Stay updated with emerging AI technologies and frameworks
• Ensure timely delivery and quality of product deliverables
• Work on low latency high performance systems
• Operate in agile software development environment
• Act as subject matter expert for domain, processes, methodology and adapt latest technologies, frameworks and tools

Additional responsibilities:

• Manage multiple concurrent deliverables
• Demonstrate strong problem-solving skills and analytical thinking
• Innovate and adopt new AI, GenAI, and agentic AI technologies

Nice to have:

• Experience delivering scalable, high-performance AI services and applications
• Experience with prompt engineering and retrieval-augmented generation (RAG)
• Experience developing agentic AI workflows using LangChain, LangGraph, Crew AI, or AutoGen
• Familiarity with computer vision, NLP, generative AI frameworks, and multimodal model development
• Exposure to MLOps tools and optimization technologies such as MLflow, Triton, ONNX, TensorRT, model quantization, GPU acceleration, or distributed inference
• Familiarity with cloud-native deployments on AWS, GCP, or Azure
• Experience integrating AI/ML and LLM systems into secure enterprise environments

More skills:

scikit-learn, Keras, Pandas, NumPy, SQL, MLOps, Cloud and on-prem deployment

Other:

• Diebold Nixdorf is an equal opportunity employer valuing diversity
• Company has 23,000+ employees in more than 130 countries
• Culture values collaboration, decisiveness, urgency, willingness to change, and accountability
• Global company operating in multiple locations and entities