WeWork India is hiring a

Machine Learning Engineer - 3

Bengaluru, India
Full-Time

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 III 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 Product Partners and Partner Team Developers 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.

  • 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

  • Expertise in end-to-end MLOps, including data versioning, automated model training and validation, deployment via APIs or edge devices, and comprehensive monitoring, drift detection, and feedback loop implementation for continuous improvement

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

  • Skilled in data preprocessing, resolving data quality issues, addressing imbalances through oversampling and undersampling techniques, and effectively outlining data preparation strategies

  • 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 skill set and improve solutions.

  • Lead junior ML Engineers and guide them. Coordinate for product release and spread adoption among user communities

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

  • Raise the bar of ML engineering by improving best practices, producing exemplary code, documentation, automated tests and thorough and precise monitoring.

Experience and qualifications

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

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

  • Strong proficiency in ML frameworks (e.g. Tensorflow, Pytorch, Scikit-learn, or JAX) and complex data pipelines; programming languages such as Python, Spark SQL, Presto, Go, Java

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

  • Experience in designing and crafting scalable, reliable, maintainable and reusable ML solutions using deep-learning techniques and statistical methods to solve large-scale real-world problems (e.g. ads tech, recommender systems).

  • 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.).

  • Comprehensive knowledge of MLOps practices, including CI/CD pipelines, model training, retraining, deployment, and monitoring, with hands-on experience in tools like Docker and Kubernetes, along with familiarity with cloud platforms such as AWS and GCP

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

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

  • A proactive mindset with a passion for continuous learning and research in the field of Generative AI.

 

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.

Apply for this job

Please mention you found this job on AI Jobs. It helps us get more startups to hire on our site. Thanks and good luck!

Get hired quicker

Be the first to apply. Receive an email whenever similar jobs are posted.

Ace your job interview

Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.

Machine Learning Engineer Q&A's
Report this job
Apply for this job