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