Senior AI Development Specialist

7 days ago

udaipur, India beBeeArtificialIntelligence Full time

AI Engineering OpportunityWe are seeking a skilled AI Engineer with 2-4 years of experience to design, develop and deploy cutting-edge AI/ML solutions with a strong emphasis on Generative AI, NLP and Time Series Forecasting.The ideal candidate will have hands-on experience with LangGraph and other Generative AI frameworks to build structured workflows for large language models (LLMs) based applications.Develop and deploy AI/ML models focusing on NLP, Generative AI and Time Series Forecasting workflows.Engineer and refine prompts to optimize performance for large language models (LLMs).Implement and maintain data preprocessing pipelines including data cleansing, feature engineering and transformation for time series data.Develop end-to-end solutions integrating LLMs with VectorDBs 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 enhance performance and accuracy.Collaborate with cross-functional teams to integrate AI/ML models into existing systems and workflows.Required Skills:AI/ML Expertise: Proven experience in developing, fine-tuning and deploying AI/ML models focusing on NLP, Generative AI and Time Series Forecasting.Prompt Engineering: Proficiency in designing testing and optimizing prompts for LLMs.Data Analysis: Strong ability to process and interpret complex datasets including time series data for AI model training and validation.Programming: Proficiency in Python and experience with AI/ML frameworks like TensorFlow PyTorch and scikit-learn.NLP Techniques: Understanding of tokenization embeddings transformer-based models and RAG workflows.Vector Databases: Experience with Weaviate Pinecone FAISS or similar VectorDBs for document retrieval and storage.LangGraph & GenAI Frameworks: Hands-on experience with LangGraph LangChain HuggingFace Transformers OpenAI API and other Generative AI tools.Cloud Deployment: Familiarity with deploying AI solutions on AWS GCP or Azure.Time Series Forecasting: Experience with ARIMA LSTM Prophet and other forecasting techniques.Preferred Skills:Experience in implementing RAG workflows and integrating generative AI with retrieval-based systems.Familiarity with ethical AI principles and compliance frameworks.Knowledge of additional programming languages such as JavaScript or SQL.Proficiency in MLOps practices for automating AI/ML pipelines and lifecycle management.Experience in developing AI-driven applications for real-world industry use cases.Key Responsibilities: Develop and deploy AI/ML models with a focus on NLP, Generative AI and Time Series Forecasting. 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 enhance performance and accuracy. Collaborate with cross-functional teams to integrate AI/ML models into existing systems and workflows.

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