Advanced AI Developer

1 week ago

junagadh, India beBeeArtificialIntelligence Full time

AI Engineer PositionWe are seeking a skilled AI Engineer to design, develop, and deploy AI/ML solutions with a strong emphasis on Generative AI, NLP, Retrieval-Augmented Generation (RAG), and Time Series Forecasting.Develop and deploy AI/ML models with a focus on NLP, Generative AI, RAG, and Time Series Forecasting workflows.Engineer and refine prompts to optimize performance for large language models (LLMs) and generative AI applications.Implement and maintain data preprocessing pipelines, including data cleansing, feature engineering, embedding generation, and transformation for time series data.Develop end-to-end solutions integrating LLMs with VectorDB (e.g., Weaviate, Pinecone, FAISS) for document retrieval, semantic search, and contextual query answering.Utilize LangGraph and other Generative AI frameworks to build structured workflows for LLM-based applications.Train and fine-tune machine learning models, including LLMs, to optimize performance for various use cases.Analyze and interpret complex datasets, including time series data, ensuring scalable and efficient AI model deployment.Collaborate with cross-functional teams to integrate AI/ML models into existing systems and workflows.Ensure models are robust, scalable, and adhere to best practices in ethical AI development.Conduct testing, performance benchmarking, and iterative refinements of AI models and pipelines.Stay updated with the latest advancements in AI/ML, NLP, and cloud technologies and recommend integration strategies for emerging tools and techniques.Proven experience in developing, fine-tuning, and deploying AI/ML models, focusing on NLP, Generative AI, and Time Series Forecasting.Proficiency in designing, testing, and optimizing prompts for LLMs.Strong ability to process and interpret large and complex datasets, including time series data, for AI model training and validation.Proficiency in Python and experience with AI/ML frameworks like TensorFlow, PyTorch, and scikit-learn.Understanding of tokenization, embeddings, transformer-based models (e.g., BERT, GPT, LLaMA), and RAG workflows.Experience with Weaviate, Pinecone, FAISS, or similar VectorDBs for document retrieval and storage.Hands-on experience with LangGraph, LangChain, HuggingFace Transformers, OpenAI API, and other Generative AI tools.Familiarity with deploying AI solutions on AWS, GCP, or Azure.Experience with ARIMA, LSTM, Prophet, and other forecasting techniques.Ability to train and fine-tune machine learning models, including large language models (LLMs), to enhance performance and accuracy.Strong analytical, problem-solving, and teamwork skills to work effectively in a cross-functional environment.The ideal candidate will have a strong foundation in AI/ML, NLP, and cloud technologies, with hands-on experience with LangGraph, LangChain, HuggingFace Transformers, OpenAI API, and other Generative AI tools. A bachelor's degree in Computer Science, Mathematics, or a related field is required. Experience working with cross-functional teams is highly valued. We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.

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