AI/ML Engineer

EcoRatings: A GenAI Solution for Sustainability

EcoRatings is led by experienced founders with a successful exit record, empowering enterprises, governments, and Web3 infrastructures to meet sustainability goals using enterprise-grade Generative AI and Blockchain technologies. The company leverages its fine-tuned open-source foundation model, Sustaining.AI functions as an ESG expert via chat, underpinning a Retrieval Augmented Generation (RAG) architecture to process sustainability data and automate carbon measurement, reporting, and validation tasks.

Position: AI/ML Engineer

We are seeking a talented and motivated AI/ML Engineer to join our team. This full-time position, based in our Noida office, focuses on developing and deploying our proprietary AI/ML algorithms for sustainability assessment.

Responsibilities:

• Develop, implement, and deploy software applications, datasets, and deep learning models.
• Fine-tune large language models for specific tasks.
• Collaborate closely with team members on integrating Generative AI solutions.
• Ensure application performance, quality, and responsiveness.
• Identify and resolve technical issues and bugs.
• Maintain code quality, organization, and automation.

Qualifications and Requirements:

• B.Tech or M.Tech degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 1–2 years of relevant experience in software development, AI/ML engineering, or Generative AI application development.
• Strong proficiency in Python and a working knowledge of C++.
• Solid understanding of Data Structures and Algorithms (DSA), object-oriented programming, and software engineering principles.
• Proficiency in Generative AI, deep learning, and Transformer architectures.
• Hands-on experience with machine learning and deep learning frameworks such as PyTorch and TensorFlow.
• Strong understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings, semantic search, vector indexing, and prompt engineering.
• Experience with vector databases such as Qdrant and relational databases such as SQL, including query optimization.
• Familiarity with AI development frameworks, including LangChain, LangGraph, CrewAI, and FastAI.
• Understanding of AI system design, model evaluation, deployment, and the development of scalable, production-ready AI applications.
• Ability to write clean, efficient, maintainable, and well-tested code while following software engineering best practices and Agile methodologies.
• Strong analytical, problem-solving, communication, and collaboration skills.

Preferred Qualifications :

• Hands-on experience developing agentic AI workflows and multi-agent systems.
• Familiarity with LLM evaluation, model fine-tuning, and inference optimization.
• Experience building, integrating, and deploying end-to-end Generative AI applications.