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. The role 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.

• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, Engineering, or related fields. PhD is a plus.

• Experience: 6–8 years of AI/ML project delivery, including at least 2–3 years in leading teams or architecting solutions.

• Proven experience in consulting or client-facing environments, with a track record of delivering AI/ML strategy and execution for enterprise clients.

• Strong executive-level communication and presentation skills — ability to influence CxO stakeholders.

• Demonstrated expertise in solution architecture, MLOps, and scaling AI/ML solutions in production.

• Deep understanding of sustainability, ESG frameworks, or health & safety data ecosystems is strongly preferred.

• Excellent interpersonal, leadership, and team management skills.

• Strong business acumen with ability to bridge strategy, technology, and client needs.

• AI/ML Frameworks: Advanced experience with TensorFlow, PyTorch, Hugging Face Transformers (BERT, GPT, LLaMA, etc.).

• Generative AI/LLM Engineering: Fine-tuning, prompt orchestration, RAG (retrieval augmented generation), embeddings, vector databases (FAISS, Pinecone, Azure Cognitive Search).

• Microsoft Ecosystem: Azure AI, Azure ML, Azure OpenAI Service, Microsoft Fabric, Power BI, Azure Synapse.

• MLOps & Cloud Deployment: MLflow, Kubeflow, Docker, Kubernetes, GitHub Actions, Azure DevOps.

• Data & Analytics: Python, R, SQL, Spark, Databricks

• Knowledge of Responsible AI principles, model governance, bias/fairness testing.

• Familiarity with ESG reporting standards (GRI, SASB, ESRS) and safety analytics is an advantage.

• Industry: Sustainability Consulting Services

• Functional Area: Advisory

• Role: AI/ML Consultant

• Career Level: CL3

• Number of Vacancies: One

• Location: Bengaluru, Delhi, Kolkata, Mumbai