Senior Machine Learning Engineer- Vashi

Role Overview: As a Senior Machine Learning Engineer (MLE) on the AI & ML (Data Collection) team at Pitch Book, you will be instrumental in delivering AI-powered systems that extract meaningful data from both structured and unstructured data sources. Your role will involve leveraging advanced data analytics and machine learning techniques to design, build, and optimize ML solutions that enhance the Pitch Book Platform. You will play a key part in developing and operationalizing ML models, focusing on areas such as natural language processing (NLP), generative AI (GenAI), large language models (LLMs), and scalable data systems. Collaboration with cross-functional stakeholders and a strong focus on delivering reliable systems will be crucial for success in this role. Your contributions will directly impact the accuracy, scalability, and efficiency of data extraction, ultimately providing Pitch Book customers with faster and more reliable access to structured information. Key Responsibilities: - Build and deliver high-impact AI/ML solutions for extracting structured data from unstructured sources to improve data quality, coverage, and reliability across data collection pipelines. - Design, develop, and deploy ML/NLP/LLM-based extraction systems, contributing to the creation of scalable, efficient, and production-grade services with a focus on accuracy, latency, cost, and robustness. - Develop and optimize extraction workflows utilizing techniques such as document parsing and chunking to enhance data processing capabilities. Qualifications Required: - Deep technical expertise in advanced data analytics and machine learning. - Experience in developing and operationalizing ML models, specifically in areas like NLP, generative AI, and LLMs. - Strong communication and collaboration skills for working closely with cross-functional stakeholders. - Ability to tackle complex technical challenges and contribute to architectural decisions. - Prior experience in building scalable and reliable systems for data extraction. Company Details: Pitch Book is a dynamic organization focused on leveraging AI and ML technologies to extract valuable insights from diverse data sources. As part of the AI & ML team, you will have the opportunity to collaborate with a multidisciplinary group of ML engineers and data scientists to build innovative solutions that drive the efficiency and reliability of data collection pipelines. Your role will involve continuous learning and growth within the AI/ML domain, contributing to the broader technical community through experimentation and knowledge sharing. Role Overview: As a Senior Machine Learning Engineer (MLE) on the AI & ML (Data Collection) team at Pitch Book, you will be instrumental in delivering AI-powered systems that extract meaningful data from both structured and unstructured data sources. Your role will involve leveraging advanced data analytics and machine learning techniques to design, build, and optimize ML solutions that enhance the Pitch Book Platform. You will play a key part in developing and operationalizing ML models, focusing on areas such as natural language processing (NLP), generative AI (GenAI), large language models (LLMs), and scalable data systems. Collaboration with cross-functional stakeholders and a strong focus on delivering reliable systems will be crucial for success in this role. Your contributions will directly impact the accuracy, scalability, and efficiency of data extraction, ultimately providing Pitch Book customers with faster and more reliable access to structured information. Key Responsibilities: - Build and deliver high-impact AI/ML solutions for extracting structured data from unstructured sources to improve data quality, coverage, and reliability across data collection pipelines. - Design, develop, and deploy ML/NLP/LLM-based extraction systems, contributing to the creation of scalable, efficient, and production-grade services with a focus on accuracy, latency, cost, and robustness. - Develop and optimize extraction workflows utilizing techniques such as document parsing and chunking to enhance data processing capabilities. Qualifications Required: - Deep technical expertise in advanced data analytics and machine learning. - Experience in developing and operationalizing ML models, specifically in areas like NLP, generative AI, and LLMs. - Strong communication and collaboration skills for working closely with cross-functional stakeholders. - Ability to tackle complex technical challenges and contribute to architectural decisions. - Prior experience in building scalable and reliable systems for data extraction. Company Details: Pitch Book is a dynamic organization focused on leveraging AI and ML technologies to extract valuable insights from diverse data sources. As part of the AI & ML team, you will have the opportunity to collaborate with a multidisciplinary group of ML engineers and data scientists to build innovative solutions that drive t