Senior Associate, Digital & AI Deployment

Job Summary As MRANTI progresses with its Digital Transformation initiative, numerous projects will be initiated to facilitate the digitalisation process. The presence of a skilled Senior Associate Digital & AI Deployment is vital to guarantee that all projects are executed in accordance with best practices, ensuring the attainment of goals and targets.This role requires a deep understanding of AI technologies to drive digital transformation projects effectively. Leveraging AI can significantly enhance decision-making, improve productivity, and automate repetitive tasks, which are crucial for the success of MRANTI's digitalisation initiative.Job Responsibilities Evaluate , develop, implement, document, monitor, and maintain AI technologies into business operations by designing, training and deploying advanced AI models including the latest LLMs to optimize MRANTI’s digital architecture and drive operational efficiencyAnalyze and identify business challenges in collaboration with stakeholders and users to develop AI-driven solutions.Stay abreast of AI research through continuous self-learning and active participation in conferences and workshops, introducing innovative ideas, processes, tools and techniques to the tam.Conduct rigorous testing and validation of AI models to guarantee adherence to avoid hallucinations and AI-bias to guarantee reliable performance in production.Develop, manage, and maintain essential project execution artifacts (charters, WBS, risk registers, communication plans) while leading assigned digital deployment projects end to end, covering initiation, planning, execution and rollout with a focus on automation and AI-enabled transformation.Experience in data migration and transformation, including cleansing, mapping, and validation to ensure accuracy and continuity during system transitions and AI integration.Collaborate with cross-functional teams, vendors, and stakeholders to capture business requirements, translate them into user requirements, and align on AI-enabled outcomes.Translate project and AI outcomes into well-structured, visually engaging presentation decks for management.Job RequirementsBachelor’s Degree in Computer Science, Information Technology, or a related field.Minimum 3 years of experience in digital transformation or technology deployment, with exposure to AI-driven initiatives.Proficiency in Python and related frameworks (e.g., TensorFlow, PyTorch), and SQL/NoSQL databases (e.g., PostgreSQL, MongoDB, Supabase).Practical experience in deploying and maintaining digital and AI solutions, including large language models (LLMs), orchestration frameworks, and enterprise system integration (ERP, HRMS, IOC).Proven experience in ERP deployment and data migration, including data cleansing, mapping, and validation to ensure data integrity and continuity.Demonstrated expertise in AI model deployment, monitoring, validation, and bias mitigation to deliver reliable automation.Strong understanding of AI integration with digital architectures, including data pipelines, APIs, and low-code/no-code platforms; exposure to cloud platforms (AWS, Azure, GCP) and containerization (e.g., Docker) is an advantage.Strong organizational and communication skills, with proven ability to lead workshops and collaborate with stakeholders to co-design AI solutions.Background in finance, accounting, or operations is an added advantage to contextualize AI applications in business workflows.Experience coordinating projects using Agile or Waterfall methodologies to ensure structured and timely digital deployment delivery.