Splunk MLTK

Overview : We are seeking a highly skilled professional with deep expertise in Splunk’s Machine Learning Toolkit (MLTK) to join our team. The ideal candidate will have extensive experience in developing and tuning machine learning models within Splunk and applying advanced techniques to improve model performance. You will need deep experience with SPL and have a lot of familiarity with interpreting feedback after creating & testing models to understand how well it will perform. Key Responsibilities : - Develop machine learning models within Splunk using the MLTK. - Perform feature extraction, engineering, and tuning to optimize model outcomes. - Apply Natural Language Processing (NLP) techniques where applicable. - Devise and implement strategies to improve model accuracy and precision. - Collaborate with internal teams to integrate machine learning insights into operational processes. - Monitor and continuously improve machine learning workflows and model performance. Required Skills and Experience: - Deep experience with Splunk, particularly in using the Machine Learning Toolkit (MLTK). - Proven expertise in building and optimizing machine learning models within Splunk. - Strong skills in feature extraction and model tuning. - Experience with Natural Language Processing (NLP). - Solid understanding of data analytics, pattern recognition, and statistical methods. - Very strong SPL skills Preferred Qualifications: - Hands-on experience with large datasets and real-time data analytics in Splunk. - Familiarity with advanced ML techniques and model evaluation. - Strong problem-solving and analytical thinking skills.