AI and Data Science Engineer
5 days ago
**About the Role:**
We are seeking a highly skilled AI and Machine Learning Engineer to join our team at CIRRUSLABS PRIVATE LIMITED. As an expert in building AI-driven solutions, you will be responsible for designing, developing, and optimizing machine learning models to improve decision-making, automate system monitoring, and enhance conversational AI capabilities.
Key Responsibilities:
- IT System Behavior Prediction: Develop and train machine learning models to detect, analyze, and predict patterns in IT system performance and operational behavior.
- Natural Language Processing (NLP): Implement NLP solutions to extract meaningful insights from unstructured text data using spaCy, Hugging Face Transformers, and other NLP libraries.
- Conversational AI & LLMs: Integrate large language models (LLMs) like OpenAI's GPT, Google BERT, and Cohere into chatbots, decision-support systems, and automation workflows.
- Machine Learning Pipeline Optimization: Design and optimize end-to-end ML pipelines for improved efficiency, including data preprocessing, model training, evaluation, and deployment.
- Cloud-based AI Deployment: Utilize AWS SageMaker, Google AI, or Azure ML to build, train, and deploy ML models at scale.
- Algorithm Development & Optimization: Apply statistical techniques, probability models, and optimization algorithms to improve ML model accuracy and robustness.
- Data Engineering & Feature Engineering: Work with structured and unstructured data, perform feature extraction, dimensionality reduction, and data transformation to improve model performance.
- MLOps & CI/CD for AI: Implement version control, model monitoring, and automated retraining strategies to ensure consistent ML model performance in production.
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