Data Science and Machine Learning Specialist

Position: Senior AI/ML Specialist – Sustainability, Health & Safety ERM is Senior AI/ML Specialist to lead the development of AI accelerators, intelligent agents, and machine learning models for sustainability, health, and safety domains.

involves guiding teams in applying LLMs, BERT, and Microsoft Azure AI technologies to design enterprise-grade solutions and drive client impact. At ERM, we combine deep domain expertise with a strong track record in delivering sustainability-focused digital solutions. Our Digital Services span the full information management lifecycle - from portfolio assessment, strategy, and technology evaluation to the design, testing, and implementation of enterprise-scale systems and cutting-edge technologies. You will be part of a collaborative, innovation-driven environment that emphasizes technical excellence, scalability, and cross-functional teamwork to deliver solutions that address complex business challenges.

: • Lead the design, development, and deployment of AI/ML solutions, accelerators, and frameworks that address client challenges in sustainability, ESG, and workplace safety. • Hands-on Experience in AI Agent development: demonstrable experience in agentic-AI development using Python, LangGraph, LangChain, and Model Context Protocol. • Architect LLM- and BERT-based applications, ensuring scalability, robustness, and security in enterprise environments. • Act as a trusted advisor to clients, engage with senior stakeholders to understand business needs, shape AI/ML strategy, and deliver impactful solutions. • Manage end-to-end AI/ML lifecycle - from solution scoping and data strategy to model development, MLOps, and production deployment. • Mentor and guide junior AI/ML professionals, fostering capability development within the team. • Collaborate with management consulting teams, domain experts, and technology architects to ensure business alignment and technical excellence. • Drive innovation initiatives, identifying opportunities to apply Generative AI, Responsible AI, and sustainability-focused analytics. • Contribute to thought leadership through publications, internal assets, and client workshops. • Ensure adherence to data governance, ethics, and responsible AI principles in all solution deliveries. key