IRIS Business Services Limited
Website:
irisbusiness.com
Job details:
About IRIS
IRIS RegTech Solutions Limited (formerly IRIS Business Services Limited) is India’s only listed RegTech SaaS provider, pioneering technology-driven regulatory and supervisory compliance solutions worldwide. Headquartered in Mumbai with subsidiaries across the U.S., Singapore, Malaysia, and Italy, IRIS serves over 30 regulators and 6,500 enterprises in 55 countries. The company is an active member of XBRL jurisdictions, including XBRL International, XBRL India, XBRL Europe, XBRL South Africa, and XBRL US. Recognized globally for its award-winning SupTech, RegTech, and DataTech platforms - including IRIS iFile, IRIS iDEAL®, IRIS CARBON®, and IRIS MSME - IRIS helps banking and financial sector regulators digitize supervision and enterprises and achieve seamless financial and ESG reporting.
IRIS’ products are XII certified, ISO 27001:13 and SSAE 18 (SOC 1 Type 2) certified, ensuring industry leading security and reliability. Combined with deep expertise in XBRL, AI, and ML, IRIS delivers robust, high-quality regulatory data infrastructure that enhances transparency, strengthens governance, and supports sustainable growth across the financial ecosystem.
To read more about IRIS visit our website: https://irisregtech.com/
About IRIS CARBON®:
IRIS CARBON® is used for the regulatory reporting requirements of over 3,000 companies and is
being used in over 27 countries including the U.S., EU, the UK, Ireland, and South Africa. IRIS
CARBON® is a SOC-certified, cloud-based, collaborative, and feature-rich SaaS platform that allows
companies to author their compliance reports (such as annual reports, quarterly reports, press
releases, etc.) apart from creating and filing these reports in XBRL/iXBRL formats as part of their
regulatory compliance process. IRIS CARBON® is offered globally via the SaaS-based model. This
product line is in a hyper-growth mode where it is being launched in newer countries and by more
regulators as they increasingly adopt the XBRL/iXBRL standard.
To read more about IRIS Carbon visit our website: https://iriscarbon.com/
Job Title : AI/ML Lead
Location: Vashi, Navi Mumbai (Work from Office)
Key Responsibilities
Design and implement RAG pipelines, including support for multimodal inputs such as text, tables, and images.
Build AI applications that process unstructured financial documents (e.g., PDF, Word, scanned files) to extract insights, generate content, and enable Q&A.
Develop solutions that convert financial documents into structured regulatory formats like XBRL/iXBRL.
- Integrate LLMs into production systems using FastAPI or similar frameworks.
- Use OCR techniques to extract information from scanned documents and embedded images.
- Collaborate with data scientists, engineers, and product managers to deliver business-aligned AI solutions.
- Optimize model performance for scalability, accuracy, and cost-efficiency.
- Contribute to the architecture and design of AI systems and participate in technical decision-making.
- Stay updated with advancements in AI/ML, particularly in RAG, multimodal processing, and LLMs.
Mandatory Skills and Qualifications
- 10 to15 years of experience in AI/ML engineering or related roles.
Handson experience with RAG pipelines — including chunking, embeddings, vector databases, and query response optimization.
Experience working with unstructured data (PDFs, scanned documents, images) and converting them into structured formats.
- Strong knowledge of OCR techniques and tools for processing scanned documents.
- Proficiency in developing APIs using FastAPI (or similar frameworks) for AI model integration.
- Experience deploying AI solutions in containerized environments (Docker and Kubernetes).
Familiarity with financial documents such as annual reports, and domain concepts like revenue, balance sheets, etc.
- Experience with at least one vector database (Qdrant preferred; others acceptable).
- Understanding of multimodal AI techniques and experience working with both text and image-based inputs.
- Strong communication and problem-solving skills with the ability to work in cross-functional teams.
Preferred Skills (Good to Have)
- Experience with LLM fine-tuning techniques (SFT, PEFT, or LoRA).
- Knowledge of model development using PyTorch or TensorFlow.
- Familiarity with LangChain, LlamaIndex, CrewAI, AutoGen, or similar LLM orchestration frameworks.
- Exposure to Azure OpenAI, OpenAI APIs, or similar cloud-based LLM providers.
- Experience with MLOps practices, including model lifecycle management and monitoring.
- Prior work on time series forecasting or classical ML models (e.g., using Scikit-learn).
- Familiarity with Azure Document Intelligence or similar document AI platforms.
- Experience working on multilingual or translation-based LLM systems.
- Contributions to open-source AI/ML projects or relevant published research.
Educational Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field.
What We Value
- Rapid Learners: Quick to adopt new tools, libraries, and concepts.
- Humble Collaborators: Team-oriented and open to feedback.
- Fast Executors: Deliver quality, tested solutions under tight deadlines.
Awards & Recognition
- India’s Best Fintech – Financial Express Best Banks Awards, presented by FM Nirmala Sitharaman.
- Best Tax Technology Service Provider 2022 – TIOL National Taxation Awards.
- Most Agile/Responsive SaaS Solution of the Year 2022 – SaaS Awards by Awarding and Consultancy International.
Click on Apply to know more.