AI Modeling Engineer

2 weeks ago

Industrial Area, India DataAlchemy.AI Full time

LLM Modeling / NLP Engineer About DataAlchemy.Ai DataAlchemy.Ai delivers secure, practical, and impactful AI solutions, making advanced technology accessible across industries. We provide end-to-end services—including AI strategy, LLM model training, custom NLP solutions, data engineering, and digital transformation—for enterprises aiming to automate, scale, and innovate.Role OverviewWe are looking for a passionate LLM Modeling / NLP Engineer to join our technical team. In this role, you will design, build, fine-tune, and optimize state-of-the-art language models and NLP systems for both client and internal use. You’ll contribute directly to projects involving generative AI, text understanding, retrieval-augmented generation, and agentic workflows—leveraging the latest advances in LLMs and NLP research.Key ResponsibilitiesDevelop, fine-tune, and deploy large language models (LLMs) for text generation, conversational agents, summarization, extraction, and other NLP-intensive tasks.Build and optimize NLP pipelines for data preprocessing, tokenization, embeddings, information retrieval, and semantic search.Implement retrieval-augmented generation (RAG), prompt engineering, and model alignment best practices.Collaborate with product managers, technical leads, and MLOps engineers to understand project requirements and deliver robust, production-ready NLP solutions.Evaluate model performance using appropriate metrics; iterate architectures and data strategies to improve accuracy, efficiency, and fairness.Stay up-to-date with emerging advancements in NLP and LLMs, open-source models, and benchmarks.Produce technical documentation, sample code, and reproducible workflows for both internal and client-facing use.Participate in code reviews, architecture decisions, and cross-functional knowledge sharing.QualificationsMaster’s or Bachelor’s degree in Computer Science, Computational Linguistics, Artificial Intelligence, or related field.3+ years of hands-on experience in NLP/LLM engineering or applied research.Proven proficiency with Python and major NLP/LLM frameworks (HuggingFace Transformers, PyTorch, TensorFlow, LangChain, LlamaIndex, etc.).Practical experience with fine-tuning LLMs (GPT, Llama, Falcon, Mistral, or similar), embeddings, RAG, and prompt engineering.Solid understanding of text pre-processing, vector search, knowledge bases, and evaluation metrics for NLP systems.Familiarity with MLOps processes: version control, containerization (Docker), reproducibility, and cloud AI deployments.Passion for clean, well-documented code and strong collaboration skills in distributed teams.Prior experience in building enterprise or customer-facing NLP applications is a plus.What You’ll GetDirect involvement with innovative LLM/NLP projects powering agentic AI and automation platforms.Access to cutting-edge AI infrastructure, open-source models, and continued professional growth.Collaborative environment with opportunities to share knowledge and drive technical direction at a fast-paced startup.Flexible remote work, competitive salary, and outcome-based incentives.

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