▷ [05/10/2025] Senior Lead - Ml Engineering

About client Talent Worx is a growing services recruitment consulting firm we are hiring for our client which is a Global and leading provider of financial intelligence data analytics and AI-driven solutions empowering businesses worldwide with insights for confident decision-making Join to work on cutting-edge technologies drive digital transformation and shape the future of global markets As a Senior Lead Machine Learning Engineer of the Document Platforms and AI team you will play a critical role in building the next generation of data extraction tools working on cutting-edge ML-powered products and capabilities that power natural language understanding information retrieval and data sourcing solutions for the Enterprise Data Organization and our clients This is an exciting opportunity to shape the future of Document Platforms and AI and see your work make a real difference all while having fun in a collaborative and engaging environment You ll spearhead the development and deployment of production-ready AI products and pipelines leading by example and mentoring a talented team This role demands a deep understanding of machine learning principles hands-on experience with relevant technologies and the ability to inspire and guide others You ll be at the forefront of a rapidly evolving field learning and growing alongside some of the brightest minds in the industry If you re passionate about AI driven to make an impact and thrive in a dynamic and supportive workplace we encourage you to join us The Impact The Document Platforms and AI team has already delivered breakthrough products and significant business value over the last 3 years In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems What s in it for you Be a part of a global company and build solutions at enterprise scale Collaborate with a highly skilled and technically strong team Contribute to solving high complexity high impact problems Responsibilities Build production ready data acquisition and transformation pipelines from ideation to deployment Being a hands-on problem solver and developer helping to extend and manage the data platforms Apply best practices in data modeling and building ETL pipelines streaming and batch using cloud-native solutions Technical leadership Drive the technical vision and architecture for the extraction project making key decisions about model selection infrastructure and deployment strategies Model development Design develop and evaluate state-of-the-art machine learning models for information extraction leveraging techniques from NLP computer vision if applicable and other relevant domains Data preprocessing and feature engineering Develop robust pipelines for data cleaning preprocessing and feature engineering to prepare data for model training Model training and evaluation Train tune and evaluate machine learning models ensuring high accuracy efficiency and scalability Deployment and monitoring Deploy and maintain machine learning models in a production environment monitoring their performance and ensuring their reliability Research and innovation Stay up-to-date with the latest advancements in machine learning and NLP and explore new techniques and technologies to improve the extraction process Collaboration Work closely with product managers data scientists and other engineers to understand project requirements and deliver effective solutions Code quality and best practices Ensure high code quality and adherence to best practices for software development Communication Effectively communicate technical concepts and project updates to both technical and non-technical audiences What We re Looking For 7-14 years of professional software work experience with a strong focus on Machine Learning Natural Language Processing NLP for information extraction and MLOps Expertise in Python and related NLP libraries e g spaCy NLTK Transformers Hugging Face Experience with Apache Spark or other distributed computing frameworks for large-scale data processing AWS GCP Cloud expertise particularly in deploying and scaling ML pipelines for NLP tasks Solid understanding of the Machine Learning model lifecycle including data preprocessing feature engineering model training evaluation deployment and monitoring specifically for information extraction models Experience with CI CD pipelines for ML models including automated testing and deployment Docker Kubernetes experience for containerization and orchestration OOP Design patterns Test-Driven Development and Enterprise System design SQL any variant bonus if this is a big data variant Linux OS e g bash toolset and other utilities Version control system experience with Git GitHub or Azure DevOps Excellent Problem-solving Code Review and Debugging skills Software craftsmanship adherence to Agile principles and taking pride in writing good code Techniques to communicate change to non-technical people Nice to have Core Java 17 preferably Java 21 and associated toolchain Apache Avro Apache Kafka Other JVM based languages - e g Kotlin Scala