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Data Science and Machine Learning Specialist
ERM
New Delhi•On-site•6-9 Yrs•Jun 25
Job description
AI SpecialistMachine LearningData ScienceSustainabilityHealth & Safety
Overview
ERM is seeking a Senior AI/ML Specialist to lead the development of AI accelerators, intelligent agents, and machine learning models for sustainability, health, and safety domains.
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.
Qualifications
- Education: Bachelors or Masters 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.
Nice to have
- Experience in ESG reporting standards (GRI, SASB, ESRS)
- Safety analytics expertise
- Responsible AI principles
- Model governance knowledge
- Bias/fairness testing skills
Education
- Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, Engineering, or related fields.
- PhD (preferred)