Senior Machine Learning Engineer

Wipro
London
1 day ago
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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

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