AI Solutions Developer

2 weeks ago

kurnool, India beBeeArtificial Full time

Job Title: AI EngineerWe are seeking a highly skilled AI/ML Engineer with 2-4 years of experience to design, develop, and deploy cutting-edge AI solutions, focusing on Generative AI, NLP, Retrieval-Augmented Generation (RAG), and Time Series Forecasting.The ideal candidate will have hands-on experience with LangGraph and other Generative AI frameworks to build AI applications that drive business value.Key Responsibilities: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 enhance performance and accuracy.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.Required Skills and Qualifications: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 large and 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 (e.g., BERT, GPT, LLaMA), 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.Model Training & Fine-Tuning: Ability to train and fine-tune machine learning models, including large language models (LLMs), to enhance performance and accuracy.Problem-Solving & Collaboration: Strong analytical, problem-solving, and teamwork skills to work effectively in a cross-functional environment.Benefits:This is an excellent opportunity for a motivated and talented AI/ML Engineer to join our team and contribute to the development of innovative AI solutions.As a member of our team, you will have the chance to collaborate with experienced professionals, learn from industry experts, and advance your career in AI/ML engineering.

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