- Design, develop, and implement IDP solutions utilising ML and LLM technologies.

- Lead the creation of Proofs-of-Concept (POCs) for various business teams, showcasing the potential of AI solutions.

- Oversee the entire data and ML pipeline - from data ingestion and pre-processing to model training, deployment, and monitoring.

- Champion the implementation of MLOps practices for streamlined model development, deployment, and management.

- Establish a robust Data Governance framework ensuring data quality, security, and compliance.

- Develop cost-efficient AI solutions, optimising resource utilisation and infrastructure costs.

- Build and lead a high-performing team of ML and Data Engineers, providing mentorship and guidance.

- Collaborate effectively with cross-functional teams (Engineering, Product, Business) to translate business needs into technical solutions.

- Stay up-to-date on the latest advancements in AI, ML, and LLM technologies.

Requirements :

- Proven experience (9+ years) in building and deploying production-ready AI/ML solutions.

- In-depth knowledge of NLP (Natural Language Processing) techniques and tools.

- Familiarity with LLM architectures and their applications in document processing.

- Expertise in data pipelines (ETL, ELT) and data wrangling techniques.

- Strong understanding of machine learning algorithms and their selection for specific tasks.

- Experience with cloud platforms (AWS, GCP, Azure) for deploying and scaling ML models.

- Familiarity with MLOps practices and tools (e.g., model versioning, CI/CD pipelines).

- Experience with Data Governance principles and best practices.

- Excellent communication, collaboration, and problem-solving skills.

- Leadership experience (desired) with a proven ability to mentor and guide engineers.

Bonus Points :

- Experience with specific IDP use cases (e.g., invoice processing, contract analysis).

- Knowledge of Deep Learning frameworks (TensorFlow, PyTorch).

- Experience with containerization technologies (Docker, Kubernetes)