Machine Learning Specialist

- I will develop end-to-end applications integrated with machine learning capabilities, including batch processing and real-time inference. - I will lead the complete model training processes, involving data preprocessing, feature engineering, model validation, and tuning to ensure optimal performance. - I will deploy machine learning models into production environments on cloud platforms like Azure, ensuring scalability and reliability. - I will conduct extensive data mining and analysis on large datasets stored across Hadoop clusters, SQL databases, and linked data sources to extract actionable insights. - I will develop ETL pipelines using tools such as Talend or Bash scripting to automate data workflows from raw ingestion to processed datasets ready for modeling. - I will collaborate with cross-functional teams to implement natural language processing (NLP) solutions for text analysis and semantic understanding tasks. - I will design robust database schemas and optimize database performance for efficient storage and retrieval of large datasets. - I will utilize analytics platforms like Looker for visualization and reporting of model results to stakeholders. - I will stay current with emerging trends in AI, quantum engineering, and big data technologies to continuously enhance our modeling approaches. - I will ensure detailed documentation of processes and maintain version control for reproducibility and transparency in model development.