Domain Leader Data Science Enterprise Analytics ML GenAi Nigeria

Reference Number: MTCE03

Job Description:

Our client a leading bank in Nigeria is seeking a qualified professional to join their team as the Domain Leader Data Science/Enterprise Analytics. This is a unique opportunity for an experienced ML scientist and handson NLP/Gen AI/ LLM senior scientist to grow into the next step in their career journey and apply her or his domain expertise in NLP deep learning GenAI and LLMs to drive business value for multiple stakeholders while mentoring and growing a Data Science and analytics unit. The ideal candidate must have deep design and handson development expertise in ML LLMs model development and integrating ML solutions with business functions to create the next generation of AIpowered capabilities. Reporting to the Chief Data Officer within the Enterprise Data Management & Transformational Analytics function of the Bank this role is critical to the Bank’s data agenda.

Responsibilities:

• Analytics ML Gen AI NLP LLM Strategy: Develop and implement ML modeling and LLM development and finetuning strategies best practices and standards to enhance AI ML model deployment and monitoring efficiency. Develop roadmap and strategy for NLP LLM Gen AI model development and lifecycle implementation.
• Analytics ML Gen AI NLP LLM Model Design and Development: Responsible for the design and development of custom ML Gen AI NLP LLM Models for batch and stream processingbased AI ML pipelines including data ingestion preprocessing modules search and retrieval Retrieval Augmented Generation (RAG) NLP/LLM model development and ensure the endtoend solution meets all technical and business requirements and SLA specifications. Work closely with members of technology and business leads and their teams in the design development and implementation of the ML model solutions.
• ML NLP LLM Model Evaluation: Work closely with the MLOps team to create and maintain robust evaluation solutions and tools to evaluate model performance accuracy consistency reliability during development UAT. Identify and implement model optimizations to improve system efficiency.
• NLP LLM Gen AI Model Deployment: Work closely with the MLOps team for the deployment of machine learning models into production environments ensuring reliability and scalability.
• Business Intelligence Propagation: Drive the widespread growth of Business intelligence capabilities across the Bank’s functions.
• Internal Collaboration: Collaborate closely with product teams business stakeholders MLOps machine learning engineers and software engineers to ensure smooth integration of machine learning models into production systems.
• Stakeholder Engagement and Collaboration: Collaborate closely with business and PM stakeholders in roadmap planning and implementation efforts and ensure technical milestones align with business requirements.
• Mentorship: Recruit develop and mentor technical AI/ML NLP LLM Gen AI talent on the team Provide guidance and mentorship to junior ML scientists fostering their professional growth and development.
• Documentation: Maintain comprehensive documentation of ML modeling processes and procedures for reference and knowledge sharing.
• Standards and Best Practices: Ensure the use of standards governance and best practices in ML model development and adherence to model and data governance standards.
• Problem Solving: Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions.
• Collaborate with global and regional crossfunctional teams including engineering operations tech services supply chain to define data platform requirements and develop machine learning models and analytics solutions that deliver business outcomes.

Requirements:

• Bachelor's or Master's degree in Computer Science Mathematics or Statistics Computational linguistics Engineering or a related field.
• 10 years of professional handson experience leveraging large sets of structured and unstructured data to develop datadriven tactical and strategic analytics and insights using ML NLP computer vision solutions.
• Demonstrated 4 years handson experience with Python Hugging Face TensorFlow Keras PyTorch Spark or similar statistical tools. Expert in python programming.
• 4 or more years project leadership experience including Agile project management Scaled Agile Frameworks (SAFE)
• 5 years handson experience developing natural language processing (NLP) models ideally with transformer architectures.
• 5 years’ experience with implementing information search and retrieval at scale using a range of solutions ranging from keyword search to semantic search using embeddings.
• Strong knowledge of and measurable handson experience with developing or tuning Large Language Models (LLM) and Generative AI (GAI)
• Experience in creating reports projections models and presentations to support business goals and outcomes.
• Ability to exercise independent judgment and decision making on complex issues regarding initiatives technical and business goals and related tasks.
• Experience with mentoring junior ML scientists
• Ability to works under minimal supervision using independent judgment.
• Excellent written & verbal communication and stakeholder management skill
• Strategic thinker and influencer with demonstrated technical and business acumen and problemsolving skills.
• Experienced with NLP LLMs (extractive and generative) finetuning and LLM model development. Strong familiarity with higher level trends in LLMs and opensource platforms
• Nice to have: Experience with contributing to Github and open source initiatives or in research projects

Benefits and Contractual information:

• Full time position in office

If you wish to apply for the position please send your CV to Matthew Taylor at . Please visit for more exciting opportunities.