AI Specialist

5 days ago

anand, India beBeeAI Full time

Job DescriptionWe are seeking a highly skilled AI/ML engineer to design, develop and deploy cutting-edge AI 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 LLM-based applications.Key Responsibilities: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) 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 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 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 recommending integration strategies for emerging tools and techniques.Required Skills and QualificationsAI/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 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.Model Training & Fine-Tuning: Ability to train and fine-tune machine learning models including LLMs to enhance performance and accuracy.Problem-Solving & Collaboration: Strong analytical problem-solving and teamwork skills to work effectively in a cross-functional environment.BenefitsAs an AI Engineer at our company you will have the opportunity to work with cutting-edge technology collaborate with talented professionals and contribute to the development of innovative AI solutions.OthersOur company is committed to providing a diverse and inclusive workplace where employees can grow and thrive. We offer competitive salaries comprehensive benefits and opportunities for professional growth and development.],

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