AI/ML Engineer

EcoRatings: A GenAI Solution for SustainabilityEcoRatings 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 EngineerWe 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:Bachelor’s or Master’s 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.