Company Description
AIgnite Nexus Limited helps enterprises and regulated industries move, clean, and trust their data so AI and SAP S/4HANA programs deliver measurable business outcomes. The company specializes in SAP ECC to S/4HANA data migration, regulated data transformation for pharma and life sciences, and robust data quality and governance that withstands audit scrutiny. AIgnite Nexus also designs and delivers responsible AI strategies with governance embedded from the start, supported by senior-led project teams and forward-deployed engineers. Its product suite, including AIgnite Transform, AIgnite Discover, and AIgnite Load Validation, focuses on AI-assisted data migration and validation for complex systems. Headquartered in London, the company primarily serves large corporates and pharmaceutical organizations with complex, regulated data environments.
Role Description
As an Artificial Intelligence Engineer at AIgnite Nexus Limited, you will design, build, and deploy AI models that support data migration, transformation, and governance for SAP and regulated data projects. You will develop and optimize algorithms for pattern recognition and natural language processing, implement and train neural network architectures, and integrate AI components into production-grade software solutions. Daily responsibilities include collaborating with data engineers and domain experts to understand client requirements, preparing and validating datasets, experimenting with model configurations, and monitoring performance in real-world environments. You will contribute to responsible AI practices by documenting models, ensuring transparency, and aligning solutions with regulatory and audit requirements. This is a full-time remote role, requiring effective communication and collaboration across distributed teams.
Qualifications
- Strong foundation in Computer Science, including algorithms, data structures, and software engineering principles.
- Applied experience with Generative AI, Knowledge Graphs, Neural Networks and Pattern Recognition for real-world use cases.
- Hands-on expertise in Software Development, including proficiency in Python and version control tools.
- Practical experience with Natural Language Processing (NLP), including working with modern libraries and frameworks (e.g., spaCy, Hugging Face Transformers, or similar).
- Familiarity with machine learning frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn) and MLOps practices for deploying and monitoring models.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field, or equivalent practical experience.
- Ability to work independently in a remote setting, manage multiple priorities, and collaborate effectively with cross-functional teams.
- Experience with regulated data environments (e.g., pharma, life sciences, or large enterprises) and knowledge of data governance or compliance standards is advantageous.
