AI Engineer (Manager level) at Clifford Chance

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

23 Jun, 26

Salary

0.0

Posted On

25 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Ai Ecosystem, Gpt Models, Vector Search, Cognitive Search, Document Intelligence, Azure Queues, Python, Llms, Deep Learning, Natural Language Processing, Azure Openai, Software Engineering, Devops, Machine Learning, Databricks, Spark

Industry

Law Practice

Description

Company Description Who we are We are one of the largest international law firms in the world. With over 30 offices across the globe, we strive to exceed the expectations of our clients, providing them with the highest-quality advice and legal insight, which combines the firm’s global standards with in-depth local expertise. Our firm, work and people span jurisdictions, cultures, and languages. We offer our clients a truly international perspective. We believe every career should be rewarding and stimulating - full of opportunities to learn, thrive, and grow. That’s why we’re so proud of our inclusive, friendly, and team-based approach to work. Our one firm global strategy is focused on targeted growth led by the needs of our core clients, those who we can best support with the breadth and depth of Clifford Chance expertise, across the sectors and geographies, which matter most to them. You’ll find our clients in commercial and industrial sectors, the financial investor community, governments, regulators, trade bodies, and not-for-profit organisations. But no matter who they are or why they’ve reached out to us, we provide a world-class service every step of the way. And that’s possible thanks to the entrepreneurial spirit and conscientious approach to work that you’ll find across all of our teams. Whichever area of the business you join, you’ll become an integral part an innovative, diverse and ambitious team of people. Clifford Chance is a place where the brightest minds and the best of colleagues meet. Job Description The role This role is a key contributor in the Data & Analytics, AI team: The daily work primarily focuses on Natural Language processing (NLP). This role will lead a range of data analytics efforts, including monitoring and improving the performance of our Natural Language Understanding (NLU) models Collaborate with legal technology advisors, business departments, innovation lab, finance team and work in the data science lab Further develop Clifford Chance's generative AI solutions Who you will work with The candidate's primary role is to develop and deliver applications for internal organisation and service-based use. It will involve collaborating with other IT teams, internal product development teams and Data & Analytics, AI team members for the architectural design and implementation of these applications. The candidate will be actively involved not only in application design but also in the realisation of those designs as applications for the cloud. What you will be responsible for Develop products as both on-premises and cloud-based applications in Python, whilst ensuring they align to Application, Enterprise, Security architecture as well as the whole-of-Government policies and framework Collaborate on creating architectural designs for on-premises and cloud-based applications, including relevant documentation to effectively explain architectural design concepts and solutions to various level of stakeholders Recommend new software development methodologies, design patterns and approaches to continually improve product delivery as part of the Legal Technology Solutions Apply knowledge of Agile software development and DevOps to ensure best delivery of applications, ensuring focus is always kept on maintainability and scalability. Identify potential and emerging technologies relevant to innovation for the Data Science Lab and wider Legal Technology Solutions group Contribute to the execution of data science use cases on a need basis Qualifications Your experience Skills & Experience 6-7 years total (at least 3 years in all technologies listed below) Azure AI Ecosystem: AI Services, GPT models, vector search, Cognitive search, Document Intelligence, Azure queues Advanced Python proficiency (including multithreading, document processing, packaging) Theoretical understanding of LLM driven applications Experience with deep learning and Natural Language Processing (NLP) Hands-on experience with using and configuring Azure OpenAI language models Strong software engineering skills (high code quality, debugging, Azure CI/CD) Experience with load testing of generative AI applications Solid understanding of Machine Learning Hands-on experience with data exploration and building machine learning models Document code and document detailed designs Excellent problem solving and troubleshooting skills Experience in working with Databricks and Spark Professional Expertise BSc or greater in Data Science, Computer Science, Math or Statistics Written and Verbal Communications Highly developed written communication skills and capable of producing global and sensitive communications to a varied audience at all levels in both Practice Areas and Business Services. Excellent verbal and interpersonal communications skills – some form of customer-facing interaction or consulting experience is a plus. Core Competencies Analytical Thought and Problem Solving Makes decisions that solve the immediate problem and prevent it from occurring again. Prepares for potential problems and contingencies in case things go wrong. Takes prompt action to resolve problems quickly. Makes pragmatic and practical decisions about how centrally driven initiatives should be implemented locally. Uses all relevant sources of information, including the team and other colleagues, to generate solutions. Communicating and Influencing Takes account of different needs and concerns in order to effectively communicate with others. Communicates effectively with the team through structured meetings and reviews. Resolves conflict and delivers feedback in an assertive and transparent way. Commitment and Self-Motivation Remains positive even if progress is slow and solutions are diluted. Is open to learning new skills. Demonstrates a drive towards continual personal growth and development. Learn about and champion best practices in code, architecture & processes. Contribute to the architecture and development direction of the team to ensure quality code is written and excellent products are built How we will support you From your first day with us, you will have varied opportunities to continuously grow and development your skills and knowledge. From formal training, informal coaching and mentoring through to skills-based and technical training and on the job learning Additional Information Equal opportunities At Clifford Chance, we understand that our true asset is our people. Inclusion is good for our team and their families, our firm and society. We are committed to treating all employees and applicants fairly and equally regardless of their gender, gender identity and expression, marital or civil partnership status, race, colour, national or ethnic origin, social or economic background, disability, religious belief, sexual orientation, or age. This applies to recruitment and selection, terms and conditions of employment including pay, promotion, training, transfer and every other aspect of employment. We have a variety of flourishing employee networks. These networks are a place for colleagues to share experiences and advocate for change wherever they see an opportunity for improvement. Our goal is to deliver an equality of opportunity, an equality of aspiration and an equality of experience to everyone who works in our firm. Find out more about our inclusive culture here. #LI-DNP

Responsibilities

This role focuses primarily on Natural Language Processing (NLP) within the Data & Analytics, AI team, leading data analytics efforts including monitoring and improving NLU model performance. The candidate will develop and deliver applications for internal organization and service-based use, collaborating on architectural design and implementation for cloud-based applications.