About us

WeWork is a global platform for creators, providing hundreds of thousands of members around the world with space, community and services that enable them to do what they love and create their life’s work. 

WeWork India, is run by the Indian real estate conglomerate, Embassy Group and commenced operations in 2017. Currently, it has over 62,000 members and 43 locations and six cities in India - Bengaluru, Mumbai, Gurugram, Noida, Hyderabad, and Pune. Its portfolio comprises small and medium enterprises, start-ups, large businesses, freelancers, etc. Our mission is empowering tomorrow’s world of work. 

Flexibility is paramount in today’s workforce and the WeWork India team is laser-focused on fuelling growth opportunities and fortifying its position as the leading flexible workspace brand with customisable and innovative solutions for all businesses. In October, WeWork India made its first investment in Bengaluru-based conferencing and collaboration platform, Zoapi. Founded in 2019, Zoapi is a unified conferencing and collaboration solution provider for enterprise companies, coworking spaces, and education centres.

WeWork India’s latest brand campaign ‘Great Inspires Great’, showcases the breadth of products at WeWork India which makes it the ideal end-to-end workspace solutions provider in a hybrid and flexible world. WeWork’s products include digital offerings like On-demand, All Access, Managed Office by WeWork, and its space as a service portfolio consisting of private offices, custom build offices, and conference rooms, among others.

WeWork India is the country’s leading flexible workspace provider that offers a personalised experience to different types of professionals with varied needs through its innovative and customised offerings. WeWork India is home to a community of diverse set of people – from innovators to visionaries to dreamers and go-getters, making it a space where people meet and inspire each other to achieve greater heights of success. You can learn more about our team and organisation here. Read more about our culture code to understand how we do things.

About the role

WeWork India is seeking an experienced Machine Learning Engineer II to join our dynamic technology team. In this role, you will be instrumental in architecting, implementing, and maintaining machine learning solutions that will drive new product innovations and support key initiatives across technology platforms, operational excellence, and data management domains, creating a firm-wide impact.

Roles and responsibilities

• Collaborate with cross-functional teams such as software engineers, product managers, data scientists & business teams to identify opportunities for process improvements that can be solved using machine learning and generative AI.

• Design, develop, and deploy machine learning models and algorithms for various business applications.

• Work on data preprocessing, feature engineering, model selection, and performance evaluation.

• Optimize and scale machine learning models for production, ensuring high performance, accuracy and low latency.

• Monitor and maintain machine learning pipelines, ensuring continuous improvement of deployed models.

• Contribute to the development of APIs and integration of machine learning models with production systems.

• Stay up-to-date with the latest machine learning research, tools, and techniques to continually enhance your skillset and improve solutions.

• Implement prompt engineering techniques to fine-tune and enhance LLMs for better performance and application-specific needs.
  
  

Experience and qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

• 2-4 years of hands-on experience in machine learning and data science in a production environment.

• Strong proficiency in Python and familiarity with libraries such as pandas, TensorFlow, PyTorch, Scikit-learn, etc.

• Experience with large language models (LLMs), Prompt Engineering Techniques, Langchain, OpenAI SDK, RAG system, Vector DB's (Mandatory).

• Experience with data preprocessing, feature engineering, and model evaluation techniques.

• Hands-on experience with supervised and unsupervised learning algorithms (e.g., regression, classification, clustering, etc.).

• Knowledge of MLOps practices and tools (e.g., Docker, Kubernetes) and familiarity with cloud platforms (AWS, GCP)

• Experience with big data tools such as Spark, Hadoop, or similar is a plus.

• Strong analytical and problem-solving skills with a focus on practical implementation.

• Strong communication skills to effectively collaborate across teams and drive product development and adoption.

• Proven ability to adapt and learn new technologies and frameworks quickly.
  
  

Equal Opportunity Employer

WeWork India is an Equal Opportunity and Affirmative Action Employer. We celebrate diversity and are committed to creating an inclusive environment for our employees and members. Employment decisions are made without regard to race, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, veteran status or other characteristics protected by law.

We expect all employees to embody our values and all aspects of employment including the decisions to hire and promote, are based on merit, competence, performance and business needs.

Our total rewards philosophy is aimed at providing compensation that is competitive, performance linked and helps us attract and retain the talent we need to drive our business forward and serve our members. As part of WeWork India, our commitment to you is that  you’ll be surrounded by career opportunities in a culture that fosters collaboration, flexibility and inclusion.