Information Retrieval Engineer / Data Engineer

As an Information Retrieval Consultant - Software/Data Engineer, you will be responsible for utilizing your expertise in Computer Science, Data Science, and related fields to enhance document information extraction. Your key responsibilities will include: - Applying principles of Natural Language Processing (NLP) and Machine Learning to improve information retrieval processes. - Conducting data analysis, cleaning, and feature engineering to ensure high-quality data for processing. - Utilizing Python programming skills for developing efficient data transformation methods. - Implementing and optimizing ElasticSearch queries for improved query performance. - Collaborating with tools such as Kibana, Azure CLI, and Git for effective data management and analysis. Qualifications required for this role include: - A degree in Computer Science, Data Science, or a related field. - Experience with ElasticSearch, Kibana, Azure CLI, and Git. - Strong knowledge of data structures, algorithms, and software designed for building elasticsearch queries automatically. - Familiarity with Information Retrieval methodologies and key metrics such as Precision, Recall, MRR, and Mean Average Precision. In addition to the above, you should possess problem-solving skills, effective communication abilities, and the capacity for autonomy in your work. As an Information Retrieval Consultant - Software/Data Engineer, you will be responsible for utilizing your expertise in Computer Science, Data Science, and related fields to enhance document information extraction. Your key responsibilities will include: - Applying principles of Natural Language Processing (NLP) and Machine Learning to improve information retrieval processes. - Conducting data analysis, cleaning, and feature engineering to ensure high-quality data for processing. - Utilizing Python programming skills for developing efficient data transformation methods. - Implementing and optimizing ElasticSearch queries for improved query performance. - Collaborating with tools such as Kibana, Azure CLI, and Git for effective data management and analysis. Qualifications required for this role include: - A degree in Computer Science, Data Science, or a related field. - Experience with ElasticSearch, Kibana, Azure CLI, and Git. - Strong knowledge of data structures, algorithms, and software designed for building elasticsearch queries automatically. - Familiarity with Information Retrieval methodologies and key metrics such as Precision, Recall, MRR, and Mean Average Precision. In addition to the above, you should possess problem-solving skills, effective communication abilities, and the capacity for autonomy in your work.