Data Science and Machine Learning Specialist

Job Description

Position: Senior AI/ML Specialist – , Health & Safety

ERM is Senior AI/ML Specialist to lead the development of AI accelerators, intelligent agents, and machine learning models for **, 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 -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 , , 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 -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 , 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 reporting standards (, , ESRS) and safety analytics is an advantage.

Relevant Information:

• Industry: Consulting Services

• Functional Area: Advisory

• Role: AI/ML Consultant

• Career Level: CL3

• Number of Vacancies: One

• Location: Bengaluru, Delhi, Kolkata, Mumbai