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AI Data Solution Engineer
ERM
New Delhi, IND
Full-time
Mid · 4–6 years experience
Onsite
Discovered 3 weeks ago
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Key Skills for This Role
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Full Job Posting
Key Responsibilities
- Design and implement AI‐powered data pipelines to extract, clean, enrich, and transform structured and unstructured data.
- Orchestrate LLMs to automate data manipulation, validation, and cross‐referencing tasks.
- Deliver polished, customer‐ready outputs in Excel, PDF, Word, and other business formats.
- Prototype emerging AI tools and approaches, translating proofs‐of‐concept into scalable solutions.
- Build and integrate full‐stack applications, connecting AI‐driven back‐ends to modern web interfaces.
- Design and optimize relational and vector databases to support AI workflows at scale.
- Contribute to best practices for code quality, documentation, and maintainable system design.
- Ready to make an impact? Apply today and join a team that combines technology, sustainability, and purpose to create a better future.
- Who We Are: As the largest global pure play sustainability consultancy, we partner with the world’s leading organizations, creating innovative solutions to sustainability challenges and unlocking commercial opportunities that meet the needs of today while preserving opportunity for future generations.
- At ERM we know that creating a diverse, equitable and inclusive work environment is an essential part of making our company a great place to build a career. We also see our diversity as a strength that helps us create better solutions for our clients. Our diverse team of world-class experts supports clients across the breadth of their organizations to operationalize sustainability, underpinned by our deep technical expertise in addressing their environmental, health, safety, risk and social issues. We call this capability our “boots to boardroom” approach for its comprehensive service model that allows ERM to develop strategic and technical solutions that advance objectives on the ground or at the executive level.
- Please submit your resume and brief cover letter.
- ERM does not accept recruiting agency resumes. Please do not forward resumes to our jobs alias, ERM employees or any other company location. ERM is not responsible for any fees related to unsolicited resumes.
- Thank you for your interest in ERM!
Qualifications
- Required
- University degree holder in an environmental or technical field such as Environmental Sciences, Information Technology, Computer Science, Engineering, Management Information Systems, or Theoretical Business.
- 4-6 years of relevant experience in an AI data engineering and or EHS-related field.
- Diversified information technology background and knowledge of EHS software, methodologies, domains and technology an advantage but not required. (Environmental Compliance, Industrial Hygiene and Safety, Occupational Health, Occupational Hygiene, Audit Management, Incident Management & Risk Assessment)
- Hands‐on experience working with large language models (OpenAI, Anthropic, Mistral, or open‐source equivalents).
- Deep understanding of embeddings, vector search, semantic similarity, and RAG architectures.
- Strong proficiency in Python with experience using async patterns, data libraries (pandas, polars), and AI SDKs.
- Experience implementing AI workflows using LangChain, LlamaIndex, or similar orchestration frameworks.
- Solid skills in SQL, relational data modeling, and performance optimization.
- Proven ability to generate and manipulate Excel, PDF, and Word documents programmatically.
- Experience building APIs using FastAPI,.NET, or Node.js and integrating them into production systems.
- Preferred
- Front‐end development experience using Vue 3 (Composition API) and TypeScript.
- Experience with vector databases and AI‐oriented data storage patterns.
- Familiarity with containerization, cloud platforms, or serverless architectures.
- Background in NLP, document intelligence, or data enrichment pipelines.
- Exposure to monorepo or large‐scale project tooling (e.g., Turborepo, Nx).
- Key Responsibilities
- Design and implement AI‐powered data pipelines to extract, clean, enrich, and transform structured and unstructured data.
- Orchestrate LLMs to automate data manipulation, validation, and cross‐referencing tasks.
- Deliver polished, customer‐ready outputs in Excel, PDF, Word, and other business formats.
- Prototype emerging AI tools and approaches, translating proofs‐of‐concept into scalable solutions.
- Build and integrate full‐stack applications, connecting AI‐driven back‐ends to modern web interfaces.
- Design and optimize relational and vector databases to support AI workflows at scale.
- Contribute to best practices for code quality, documentation, and maintainable system design.
- Ready to make an impact? Apply today and join a team that combines technology, sustainability, and purpose to create a better future.
About ERM
Environmental Services8000 employeesFounded 1971
Provides sustainability, environmental, and risk management consulting services.
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