Create a free account
One signup unlocks everything for this job:
- Apply to this job and track your application
- See your personalized profile match score
- Generate an AI cover letter for this role
Delhi · On-site · 3-5 Yrs · Aug 30
Business consulting · 5001 to 10000 Employees · London, United Kingdom
Environmental Resources Management (ERM ) manages, maintains, and meters the resources of Mother Earth. The environmental consulting firm offers site development and remediation services, as well as technical services, for water and wastewater management, air quality assessment, and pollution control. With 130 offices in 40 countries, ERM also provides facility operations and merger consulting services, including strategic advice, impact studies, contaminated sites management, and permitting assistance. Clients include Alcoa, Bayer, Del Monte, and Mattel. ERM was sold to Charterhouse Capital Partners in 2011 as part of a management buyout.
What employees say
+ Good employee benifits and pay scale
− No work life balance, no team environment
More reviews on the company profile.
Interview experience · Digital Consultant
It was a good discussion that I had with the Team. I could answer 50% of the Questions asked. Probably better preparation would have helped me. Next Time I hope I will be able to crack the Interview.
Average difficulty · Bengaluru · 10 reports
More interview insightsJob description
Overview
Job DescriptionPosition: 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.
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
Verify Data Science And Machine Learning Specialist for this role
Free PRACTICE for Data Science And Machine Learning Specialist adds a verified skill signal that can boost how roles like this rank for you — optional, not required to browse or apply.
Sign up — verify Data Science And Machine Learning Specialist free →Want match scores and deeper insight? Create a free candidate profile