Archaeological Field Technicians (Field Based)
erm
Full time
Data Science and Machine Learning Specialist
erm· ERM India Private Limited
About this role
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.
key 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
Frequently Asked Questions
Is the salary disclosed for the Data Science and Machine Learning Specialist position at erm?
The salary for this Data Science and Machine Learning Specialist role at erm is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Data Science and Machine Learning Specialist position at erm located?
This Data Science and Machine Learning Specialist role at erm is based in 4 Locations, Bangalore, India, Kolkata, India, Mumbai, India, New Delhi, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Data Science and Machine Learning Specialist role at erm full-time or part-time?
This is listed as a Full time position. It is posted as a Data Science and Machine Learning Specialist role in the ERM India Private Limited department at erm.
Which team or department does the Data Science and Machine Learning Specialist at erm belong to?
This Data Science and Machine Learning Specialist position is part of the ERM India Private Limited department at erm. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Data Science and Machine Learning Specialist position at erm?
Click the "Apply Now" button on this page. You will be redirected to erm's official application portal hosted on workday where you can submit your application directly.
Data Science and Machine Learning Specialist
erm
You'll be redirected to erm's official application page on Workday.