About us
WeWork India is one of India’s leading flexible workspace operators – ‘Great Place To Wor
certified (Nov 2024 – Nov 2025), aimed at creating flexible workspace solutions for companies
of all sizes.
Since its inception in India in 2016, WeWork India has expanded across 63 operational centres
in Chennai, New Delhi, Gurugram, Noida, Mumbai, Bengaluru, Pune, and Hyderabad. WeWork
India meets distinct workspace needs, for various businesses. WeWork India strives to provide
customised and curated solutions for various office space needs through its products and solutions.
At WeWork India, we’re driven by collaboration, creativity, and a shared vision to redefine the
future of work. If you're looking to be part of a dynamic, fast-growing organisation that values
talent and fosters growth, join us and build your future with WeWork India.
For more information, please visit our website https://wework.co.in/
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.
The candidate should possess strong expertise in statistics, mathematics, and programming, with the ability to confidently analyze, organize, and interpret large datasets to solve complex machine learning problems effectively.
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, with expertise in PySpark 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.).
Develop data pipelines to efficiently supply machine learning models with high-quality data and build a feature store to enable reuse of commonly used features across projects.
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.