Senior Machine Learning Engineer

Make Progress Thrive

We succeed when we make our clients successful. We collaborate to sharpen our insights and amplify this success. We execute with excellence. Always.

We help customers improve Worker & Customer experiences with outcome-oriented consultants who bring the latest digital thinking and cloud experience. We create actionable strategies that deliver results quickly, and help organizations adapt to a new experience-driven era. We deliver results quickly by harnessing the power of thousands of pre-built solution accelerators.

The role

We are seeking a technology-agnostic polymath committed to continuous learning and innovative scientific exploration. This individual will bring thoughtful perspectives, empathy, creativity, and a positive attitude to solve problems at scale. The role is ideal for someone looking to extend their algorithm design and software engineering skills into a part mentor, part individual contributor, and part thought partner role. As the Senior Machine Learning Engineer, you will work alongside the Data Science team to operationalize Machine Learning Models in Production across various domains, driving a data-driven transformation of our business procedures. You will develop and deploy novel approaches to optimize existing machine learning systems, maximizing their value and increasing consumer satisfaction at every brand touchpoint. The Machine Learning Engineer will report to the Programme AI/ML Lead Engineer.

• 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 Client'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

• Personalized in-session product recommendation engine
• Customer Segmentation
• Automated text summarization and clustering
• Next-Best offer prediction
• Design Microassortments for Next-Gen stores
• Anomaly detection and Root Cause Analysis
• Unified consumer profile with probabilistic record linkage
• Visual search for similar and complementary products

• University or advanced degree in engineering, computer science, mathematics, or a related field
• 7+ years 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

• Being part of the local Wipro South Europe family and also supported by 260.000 enthusiast colleagues spread over the 6 continents;
• A state-of-the-art training platform so you can grow and become the best version of yourself;
• A dynamic working environment with room for personal development
• A career path within a global leading Technology firm
• At Wipro we find it important that you have a good work life balance so homeworking, working at the HQ