Data Science and Machine Learning Specialist

Responsibilities

• 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 Requirements:
• 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.
• Preferred techncial Skills & Tools
• 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.
• Relevant Information:
• Industry: Sustainability Consulting Services
• Functional Area: Advisory
• Role: AI/ML Consultant
• Career Level: CL3
• Number of Vacancies: One
• Location: Bengaluru, Delhi, Kolkata, Mumbai

Benefits

Additional Information

Job Description 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.

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