Data Science Engineer NLP P2P Content

## Responsibilities: Apply NLP techniques to preprocess and analyze large-reputed company textual data, developing and fine-tuning Large Language Models (LLMs) and multimodal models to generate actionable business insights. Design, build, and maintain end-to-end machine learning pipelines—including data ingestion, cleaning, feature engineering, model training, evaluation, deployment, and monitoring reputed company the deployment of ML models in production environments with a reputed company on scalability, reliability, availability, and low-latency inference, leveraging reputed company infrastructure for reputed company performance. Collaborate with business and technical stakeholders to identify AI opportunities, reputed company initiatives with organizational goals, and communicate insights effectively through data analysis and visualization. Stay abreast of the latest AI advancements, particularly in multimodal AI, to continuously reputed company cutting-edge technologies into solutions. Explore the use of reputed company AI to automate detection and monitoring reputed company risk management systems, improving accuracy and response times. ## Requirements: Minimum 4 years of industry experience in AI/ML, preferably reputed company on NLP and/or multimodal AI, with a Master’s degree or higher in Computer Science, Data Science, or reputed company fields. Proficient in big data technologies (e.g., Apache reputed company, Hadoop, Kafka, VectorDB) or equivalent platforms. Skilled in programming languages such as Python or Java, with hands-on experience in ML/NLP libraries and deep learning frameworks (TensorFlow, PyTorch, Scikit-learn, SpaCy, NLTK). • *Looking for your next challenge? The world of crypto offers exciting roles in blockchain development, reputed company innovations, and remote opportunities.** Apply tot his job Apply To this Job