Padmi

StatusNeo- Python+AI Engineer (Gurugram)

Delhi NCRPosted 1 month ago
Computer ResearchMid-levelFull Time; Regular
Apply at NEXTHIRE

Opens the source posting on shine.com

Source description

About the role

View original

Job Title: AI Engineer Experience: 4+ Years Location: Gurgaon (In office 5 Days a Week) Employment Type: Full-Time About the Role: We are looking for a highly experienced and driven AI Engineer with a strong background in Generative AI, Large Language Models (LLMs), and machine learning systems. This is a critical role where you will help design, build, and optimize advanced AI/ML solutions that power intelligent products and platforms. As a senior member of the AI team, you will work on state-of-the-art NLP models, contribute to the architecture of GenAI systems, and bring research to production in a fast-paced and collaborative environment. Key Responsibilities: - Design and implement scalable AI/ML models, with a focus on LLMs and Generative AI use cases. - Fine-tune and deploy foundation models (e.g., GPT, LLaMA, Mistral) using Python and modern ML frameworks. - Lead research, experimentation, and prototyping of new ML algorithms and NLP approaches. - Collaborate with data scientists, MLOps engineers, and product teams to integrate AI capabilities into real-world applications. - Develop APIs and end-to-end ML pipelines for training, testing, and deployment. - Stay current with emerging trends in artificial intelligence and apply best practices in production environments. Required Skills: - 9+ years of experience in Artificial Intelligence, Machine Learning, and Python programming. - Hands-on expertise in Generative AI and Large Language Models (LLMs). - Strong knowledge of frameworks such as PyTorch, TensorFlow, and Hugging Face Transformers. - Experience with prompt engineering, fine-tuning, and inference optimization of LLMs. - Solid understanding of NLP, deep learning architectures, and model performance evaluation. - Experience working with vector databases (FAISS, Pinecone) and retrieval-augmented generation (RAG) architectures. - Proven ability to translate complex research into scalable applications. Good to Have: - Exposure to LangChain, OpenAI AP .

One address, no account. We’ll tell you when matching roles go live.

More at NEXTHIRE

Related open roles

View all roles