Introduction

Job Title:

NLP Engineer III

Business Unit:

Technology / Engineering

Location:

London

Direct Reports:

0

Reporting Manager Title:

Bogdan Vrusias

Date Prepared:

01 / 05 / 2024

Section 1 - Company Intro Who we are

We are an organisation that exists to drive progress. That's the “red thread” that connects everyone at The Economist Group (TEG). Our businesses share a devotion to innovation, independence and rigour in their fields of expertise. We empower people to understand and tackle the critical challenges and changes facing the world. Our analytical rigour, global expertise and evidence-based insights enable individuals and organisations to make sense of these shifts and chart a course through them.

Our story began in 1843, when a Scottish hat manufacturer founded The Economist newspaper to further the cause of free trade. Since then, we have evolved into a staunchly independent global media and information-services company that provides intelligent thinking for an international audience. We deliver our analysis and insights in many formats to subscribers and clients in 170 countries with four businesses, each of which upholds our global reputation for excellence and integrity.

Section 2 - Business Unit Intro

Our team of 200 colleagues is at the heart of The Economist Group’s digital-first agenda. Together, we are delivering user-friendly, high-quality digital products that bring data, intelligence and analysis to our growing global audiences across all our four businesses.

Our team develops cutting-edge products that provide valuable insights and analysis to business and government leaders worldwide. Whether it involves creating new products for the Economist Intelligence Unit (EIU), conceptualising mobile applications that deliver personalised content, or enhancing our flagship website, economist.com, the Technology team plays a crucial role in shaping how we attract, convert, engage, and retain our 1.2 million subscribers.

The Technology team collaborates closely with other teams to engineer innovative solutions that cater to the evolving needs of our subscribers. This includes leveraging advanced technologies and methodologies to enhance the acquisition of new subscribers, optimise conversion rates, deliver engaging user experiences, and ensure long-term subscriber loyalty.

Section 3 - Job Description

The role:

We are looking for a Natural Language Processing (NLP) Engineer to join our Economist Group engineering team. Your primary focus will be to design, develop, ship, maintain and oversee the overall architecture of our Economist.com data platforms - with a focus on systems related to our customer facing products. The initial focus will be around implementing appropriate data infrastructure required to enable predictive analytics, ML algorithms, and Generative AI applications, and in conjunction with the Head of AI and Data Engineering support the organisation to implement their vision. You’ll also work with individuals from our corporate data team (responsible for reporting, analytics and insights), as well as work collaboratively with data scientists and analysts in other teams across the organisation.

The role will suit either an existing senior or a mid-level NLP Engineer, or even an ML Engineer ready for their next challenge, but with at least some experience leading or mentoring a high performing team. You should enjoy working with autonomy in a creative and entrepreneurial environment, and have a strong commitment to producing high quality solutions. We offer flexible working and have recently shifted to a 'remote first' working policy with a minimum expectation of coming to the office two days a month, however you can come in more often if you wish to.

How you will contribute in this role:

• Architecting, building and maintaining NLP processing pipelines / workflows in Python via technologies such as Spark, serverless functions, Airflow, MLflow, or other.

• Working with Data Scientists to automate experiments that bring ML and NLP research ideas to production.

• Fine Tuning and consuming Large Language Models (LLM) directly or via third party Generative AI API services.

• Setting up Retrieval Augmented Generation (RAG) architectures and Reinforcement Learning from Human Feedback (RLHF) processes.

• Implement MLOps and related DevOps focused on LLMs deployed in cloud-native environments.

• Support, optimise and transition our current processes to ensure well architected implementations and best practices.

• Work in an agile environment within a collaborative agile product team using Kanban

• Collaborate across departments and work closely with data science teams and with business (economists/data) analysts in refining their data requirements for various initiatives and data consumption requirements.

• Educate and train colleagues such as data scientists, analysts, and stakeholders in NLP pipelining and data processing techniques, which make it easier for them to integrate and consume the data they need for their own use cases.

• Participate in ensuring compliance and governance during model use, to ensure that the users and consumers use the resources provisioned to them responsibly through data governance and compliance initiatives.

• Become an NLP evangelist, and promote the available Generative AI capabilities and expertise to business unit leaders, and educate them in leveraging these.

  What we’re looking for:

• 6+ years of professional experience with NLP used in large scale digital applications.

• Extensive experience with programming in Python and Jupyter notebooks.

• Professional experience of designing, building and managing bespoke NLP solutions in cloud environments.

• Experience in building NLP solutions while consuming LLMs, either directly from third party APIs or directly from repositories such as Hugging Face.

• Strong, fundamental technical expertise in cloud-native technologies, such as AWS Lambda, API Gateway, SageMaker Studio, Amazon ECR, Cloud Formation, or equivalent.

• Experience in leading / mentoring NLP / ML engineering teams.

• Experience in working in teams with data scientists and data engineers, for building automated pipelines for model building, deployment and monitoring.

• An advanced degree in computer science, information science, data science, linguistics, or a related quantitative field or equivalent work experience.

• Strong verbal and written communication skills and ability to work well with a wide range of stakeholders.

• Strong ownership, scrappy and biassed for action.

  Section 4 - What we offer

  Benefits

  We offer excellent benefits including an incentive scheme, generous annual and parental leave policies, volunteering days and well-being support throughout the year, as well as free access to all Economist content. Country specific benefits are also offered.

  Our Values

  Our values are a collective set of beliefs and behaviours that strengthen The Economist Group's purpose and demonstrate where we want to be as an organisation. They reflect on our mission to pursue progress for individuals, organisations and the world.

  Independence

  We are not bound to any party or interest and encourage exploration and free-thinking. We champion freedom, both within our organisation and around the world.

  Integrity

  We are bold in our efforts to uncover the truth and stand up for what we believe in. We inspire trust through our rigour, fact-checking and transparency.

  Excellence

  We aspire to the highest standards in all we do. We are ambitious and inquisitive in our pursuit of continuous progress and innovation.

  Inclusivity

  We value diversity in thought and background and encourage healthy debate with a breadth of perspectives. We treat our colleagues and customers fairly and respectfully.

  Openness

  We foster a collaborative and empathetic culture conducive to the interests, wit and initiative of our colleagues. New ideas are our lifeblood.

  The Economist Group values diversity. We are committed to equal opportunities and creating an inclusive environment for all our colleagues and potential colleagues regardless of ethnic origin, national origin, gender, gender identity, race, colour, religious beliefs, disability, sexual orientation, age, marital status or any other status.

Job LocationsIndia-Gurugram

ID 2024-10043

Function Technology