Company: Dow Jones Job Description Summary: Dow Jones is seeking an experienced Machine Learning Engineering Manager to lead the team of machine learning engineers. The role involves managing the implementation of advanced machine learning solutions, ensuring seamless integration, and operational success. The manager will be deeply involved in every aspect of AI project development, from brainstorming to production launch, to deliver high-impact projects aligned with organizational goals. The manager will lead, mentor, and guide the team, facilitate collaboration, and develop tools and frameworks supporting model training. Additionally, the manager will monitor model performance, improve accuracy and efficiency, and maintain robust, secure, and scalable production systems. The ideal candidate will have a Bachelor’s or Master’s degree in Computer Science or a related STEM field, proven leadership and technical expertise in machine learning, AI, or data science, and experience with cloud-based infrastructure and agile development methodologies. Strong communication and interpersonal skills are necessary to effectively collaborate with cross-functional teams. Job Description: Job Description:****About the RoleDow Jones is seeking an experienced Machine Learning Engineering Manager to lead our team of machine learning engineers. You will be responsible for managing the implementation of advanced machine learning solutions, ensuring their seamless integration and operational success. Your leadership will play a crucial role in guiding the team to deliver high-impact machine learning projects aligned with our organizational goals and technological advancements.As a leader within the AI Engineering Team, you will be deeply involved in every aspect of AI project development process, from brainstorming and ideation to production launch and ongoing development, ensuring that our machine learning solutions deliver tangible value, meet organizational needs, and are developed with a focus on security and scalability.You Will Lead, mentor, and guide a team of machine learning engineers to foster a culture of collaboration and continuous improvement… Conduct regular performance evaluations, provide constructive feedback, and support professional growth within the team. Facilitate close collaboration within the AI Engineering Team to integrate ML models into our Information Retrieval pipelines, covering pre-processing, fine-tuning, and deployment.* Lead implementation of optimized data storage and indexing systems for NLP, utilizing advanced database technologies.* Guide the development of tools and frameworks supporting model training, tuning, and evaluation for seamless integration into our infrastructure.* Monitor model performance, continuously improving accuracy and efficiency, and provide ongoing support, troubleshooting, and updates as needed.* Build and maintain data processing pipelines for high volumes of structured and unstructured data, ensuring robust, secure, and scalable production systems.* Develop and maintain comprehensive documentation for all machine learning infrastructure and support processes.* Stay updated with the latest developments in GenAI, NLP, ML, and information retrieval technology , incorporating best practices into our systems and processes.You Have* Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related STEM field.* Proven track record of leadership and technical expertise within the field of machine learning, AI, or data science, with at least 3 years of leadership experience.* Experience with machine learning algorithms, techniques, and model operationalization.* Proficiency in Python and/or other high-level programming languages commonly used in machine learning.* Experience with NLP and Machine Learning frameworks and libraries (e.g., PyTorch, HuggingFace, LangChain, spaCy, NLTK, scikit-learn, etc.).* Proficiency in cloud-based infrastructure and managing large datasets.* Experience with agile development methodologies and CI/CD pipelines.* Excellent project management skills with experience successfully delivering complex machine learning projects.* Familiarity with software engineering best practices, ensuring the development of secure, scalable, and efficient production systems.* Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.About Our Organization:Dow Jones is a global provider of news and business information, delivering content to consumers and organizations around the world across multiple formats, including print, digital, mobile and live events. Dow Jones has produced unrivaled quality content for more than 130 years and today has one of the world’s largest news-gathering operations globally. It is home to leading publications and products including the flagship Wall Street Journal, America’s largest newspaper by paid circulation; Barron’s, MarketWatch, Mansion Global, Financial News, Investor’s Business Daily, Factiva, Dow Jones Risk & Compliance, Dow Jones Newswires, OPIS and Chemical Market Analytics. Dow Jones is a division of News Corp (Nasdaq: NWS, NWSA; ASX: NWS, NWSLV).About the RoleDow Jones is looking for an experienced Data Science Manager to lead our team of data scientists. You will be responsible for managing the design, development, and maintenance of machine learning solutions to support various AI use cases, including those focused on Natural Language Processing. You will collaborate closely with our team of engineers to seamlessly integrate a variety of machine learning models, such as large language models (LLMs), into our systems.As a leader within the AI Engineering Team, you will be deeply involved in every aspect of AI project development process, from brainstorming and building proofs of concept to production launch and on-going development. You will lead the team, ensuring our data science programs deliver high-quality AI solutions on time and within budget.You Will: Lead a team of data scientists to construct and maintain robust AI/ML pipelines, coordinating with vendors for cutting-edge technologies. Translate business requirements into technical solutions, working with the stakeholders across the company. Facilitate close collaboration within the AI Engineering Team to integrate ML models into our systems, covering pre-processing, fine-tuning, and deployment. Lead the analysis and refinement of large datasets to enhance reusable models, demonstrating analytical expertise and strategic insight.* Drive efforts to optimize ML model performance through in-depth data analysis and validation in real-world applications.* Lead NLP modeling and algorithm development, showcasing leadership in innovation.* Develop data enrichment pipelines aligned with strategic goals, delivering tangible value.* Stay updated on advancements in ML, NLP, and IR technology , incorporating emerging trends for continuous improvement.* Provide mentorship and guidance to foster collaboration and professional development within the AI Engineering Team.You Have:* Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related STEM field.* Experience with leadership and hands on technical expertise within the field of machine AI, ML or data science, with at least 3 years of leadership experience.* Proficiency in Python and/or other high-level programming languages commonly used in machine learning.* Proven experience with ML and NLP frameworks and libraries (e.g. PyTorch, HuggingFace, LangChain, spaCy, NLTK, scikit-learn, etc.).* Demonstrated expertise in information retrieval, utilizing NLU techniques for structured data extraction.* Experience with LLMs APIs, including pre-processing and deployment on cloud-based infrastructure.* Proficiency in Git for collaborative project development and version control.* Proficiency in cloud-based infrastructure and managing large datasets.* Familiarity with software engineering best practices, ensuring the development of secure, scalable, and efficient production systems.Our Benefits* Hybrid working, ability to work from home 2 days per week #LI-hybridComprehensive Healthcare Plans* Wellbeing assistance* Meal Vouchers* Desplazamiento policy flexible working policy (individual’s right to work applies)* Generous pension plan* Comprehensive Medical, Dental and Vision Insurance Plans* Education Benefits* Generous Paid Maternity and Paternity Leave policy* Family Care Benefits* Newscorp subscription Discounts* Employee Referral ProgramReasonable accommodation: Dow Jones, Making Careers Newsworthy - We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.EEO/AA/M/F/Disabled/Vets. Dow Jones is committed to providing reasonable accommodation for qualified individuals with disabilities, in our job application and/or interview process. If you need assistance or accommodation in completing your application, due to a disability, email us at ******. Please put “Reasonable Accommodation” in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.Business Area: Dow Jones - TechnologyJob Category: Software Product EngineeringUnion Status:Non-Union roleSince 1882, Dow Jones has been finding new ways to bring information to the world’s top business entities. Beginning as a niche news agency in an obscure Wall Street basement, Dow Jones has grown to be a worldwide news and information powerhouse, with prestigious brands including The Wall Street Journal, Dow Jones Newswires, Factiva, Barron’s, MarketWatch and Financial News.This longevity and success is due to a relentless pursuit of accuracy, depth and innovation, enhanced by the wisdom of past experience and a solid grasp on the future ahead. More than its individual brands, Dow Jones is a modern gateway to intelligence, with innovative technology, advanced data feeds, integrated solutions, expert research, award-winning journalism and customizable apps and delivery systems to bring the information that matters most to customers, when and where they need it, every day.**If you are a current employee at Dow Jones, do not apply here. Please go to the Career section on your Workday homepage and view “Find Jobs - Dow Jones.” Thank you.**Req ID: 42349
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“Fine-tuning” means adapting an existing machine learning model for specific tasks or use cases. In this post I’m going to walk you through how you can fine tune a large language model for sentence similarity using some hand annotated test data. This example is in the psychology domain. You need training data consisting of pairs of sentences, and a “ground truth” of how similar you want those sentences to be when you train your custom sentence similarity model.
Hire an NLP developer and untangle the power of natural language in your projects The world is buzzing with the possibilities of natural language processing (NLP). From chatbots that understand your needs to algorithms that analyse mountains of text data, NLP is revolutionising industries across the board. But harnessing this power requires the right expertise. That’s where finding the perfect NLP developer comes in. Post a job in NLP on naturallanguageprocessing.
Natural language processing What is natural language processing? Natural language processing, or NLP, is a field of artificial intelligence that focuses on the interaction between computers and humans using natural language. NLP is a branch of AI but is really a mixture of disciplines such as linguistics, computer science, and engineering. There are a number of approaches to NLP, ranging from rule-based modelling of human language to statistical methods. Common uses of NLP include speech recognition systems, the voice assistants available on smartphones, and chatbots.
