... 2 years of experience in AI/ML.- Strong programming skills in Python.- Hands-on experience with PyTorch, TensorFlow, or JAX.- Experience with LLM fine-tuning and prompt engineering.Must-Have Skills : - Experience building Agentic AI systems and reasoning workflows.- LangChain, LlamaIndex, LangGraph.- Strong understanding ...
Job Description :- Lead end-to-end design and delivery of production-grade AI/ML solutions including RAG pipelines, LLM-based applications, and extraction systems.- Architect and develop robust, scalable AI/ML services in Python with focus on reliability and production-grade performance.- Develop and optimize AI-driven ...
... production-ready AI features and pipelines that power our core https://jobeax.com/link/DqStGlxxbeVrdc22 RESPONSIBILITIES : - Design, develop, and deploy AI/ML models and pipelines in production environments- Implement Retrieval-Augmented Generation (RAG) architectures and agentic AI workflows- Fine-tune and optimize LLMs for domain-specific ...
... technologies such as FAISS, Pinecone, Milvus, Chroma, or similar.- Experience with prompt engineering, LLM evaluation, and model fine-tuning.- Familiarity with LangChain, LangGraph, LlamaIndex, or similar orchestration frameworks.- Experience building REST APIs using FastAPI or similar frameworks.- Experience deploying ML solutions ...
... practical projects into training programs. Requirements: - Strong expertise in Python, Scikit-learn, TensorFlow, PyTorch, or Keras . - Hands-on experience with LLMs, Prompt Engineering, RAG, Vector Databases, and LLM Fine-tuning . - Experience with LangChain/LangGraph, LlamaIndex, CrewAI, AutoGen, or OpenAI Agents SDK . ...
... applicable.- Explore and implement Generative AI and large language model (LLM) use cases, including model adaptation and fine-tuning approaches.- Evaluate pre-trained models, open-source models, datasets, and third-party AI capabilities for business applications.- Develop AI/ML solutions across domains such as NLP, computer ...
... training, and deploying deep learning models in research or production environments.- Strong experience with deep learning and LLMs, including model training and fine-tuning.- Practical experience with data curation, model training infrastructure, and large-scale experimentation.- Experience designing and implementing ML evaluation ...
... production-grade models.- Deep expertise in NLP, Fundamental machine learning, deep learning, transformer, state space-based architecture.- Azure ML and/or AWS.- Strong in Python coding, SQL and database queries, data preparation, and analysis.- Exploratory Data Analysis (EDA).- Experience with PyTorch.- LLM training and fine-tuning (e.g., ...