Senior Machine Learning Engineer

About Us:

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading global information technology, consulting, and business process services company. We harness the power of cognitive computing, hyper-automation, robotics, cloud, analytics and emerging technologies to help our clients adapt to the digital world and make them successful. A company recognized globally for its comprehensive portfolio of services, strong commitment to sustainability and good corporate citizenship. Together we discover ideas and connect the dots to build a better and a bold new future.

Wipro is an exciting organization to work for. We ranked as a “Top Employer” as part of the Top Employer Institute annual listings. We were assessed on several key HR practices including Diversity and Inclusion.

About The Job

• Implement end-to-end solutions for batch and real-time algorithms along with
• requisite tooling around monitoring, logging, automated testing, model retraining,
• model deployment and metadata tracking
• Identify new opportunities to improve business processes and improve consumer
• experiences, and prototype solutions to demonstrate value with a crawl, walk, run
• mindset.
• Work with data scientists and analysts to create and deploy new product features on
• the ecommerce website, in-store portals and the Levi's mobile app
• Establish scalable, efficient, automated processes for data analyses, model
• development, validation and implementation
• Write efficient and scalable software to ship products in an iterative, continual-release
• environment
• Contribute to and promote good software engineering practices across the team and
• build cloud native software for ML pipelines
• Contribute to and re-use community best practices
• Embody the values and passions that characterize Levi Strauss & Co., with empathy
• to engage with colleagues from multiple backgrounds
• Example Projects
• Besides driving the transformation of Levi's into a data-driven enterprise in general, here are
• some specific projects you will work on and contribute to:
• Personalized in-session product recommendation engine
• Customer Segmentation
• Automated text summarization and clustering
• Next-Best offer prediction
• Design Micro assortments for Next-Gen stores
• Anomaly detection and Root Cause Analysis
• Unified consumer profile with probabilistic record linkage
• Visual search for similar and complementary products

Skills Required:

• University or advanced degree in engineering, computer science, mathematics, or a
• related field
• Experience developing and deploying machine learning systems into
• production
• Experience working with a variety of relational SQL and NoSQL databases
• Experience working with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with at least one cloud provider solution (AWS, GCP, Azure) and
• understanding of severless code development
• Experience with object-oriented/object function scripting languages: Python, Java,
• C++, Scala, etc.
• Previous experience developing predictive models in a production environment,
• MLOps and model integration into larger scale applications.
• Experience with Machine and Deep Learning libraries such as Scikit-learn, XGBoost,
• MXNet, TensorFlow or PyTorch
• Exposition to GenAI and solid understanding of multimodal AI via HuggingFace,
• Llama, VertexAI, AWS Bedrock or GPT
• Knowledge of data pipeline and workflow management tools
• Expertise in standard software engineering methodology, e.g. unit testing, test
• automation, continuous integration, code reviews, design documentation
• Working experience with native ML orchestration systems such as Kubeflow, Step
• Functions, MLflow, Airflow, TFX...
• Relevant working experience with Docker and Kubernetes is a big plus