Engineering, Computer Science, Mathematics Graduates Vacancy at Levi’s

Overview:

Levi’s is hiring an experienced Machine Learning Engineer at their Bangalore location. You will identify new opportunities to improve business processes and improve consumer experiences, and prototype solutions to demonstrate value with a crawl, walk, run mindset.

The complete details of this job are as follows:

Job description

• Work with data scientists and analysts to create and deploy new product features on the e-commerce website, in-store portals and Levi’s mobile
• Implement end-to-end solutions across the full breadth of the ML model development lifecycle. The specific role includes working hand in hand with the scientists from the point of data exploration for model development to the point of building features and ML pipelines and deploying them in production. You will have an opportunity to work on both batch and real-time models. The role also involves operational support.
• Establish scalable, efficient, automated processes for data analyses, model development, validation, and
• 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
• 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

Who We Seek  

• Team player, solution-driven and open-minded, with a passion for continuous improvement and automation
• Proactive and action-oriented
• A commitment to continuous learning and knowledge
• Ability to think logically and keep solutions
• Excellent English communication skills to collaborate effectively with cross-functional

Your Skills  

• Key Tech Skills: 
• Proficiency in Google Cloud Platform (GCP) tools including Vertex AI, BigQuery, Dataproc, GKE, and GCS
• Working experience with native ML orchestration systems such as Kubeflow, Step Functions, MLflow, Airflow, TFX…
• Experience in ETL processes
• Proficiency in SQL
• Familiarity with GIT for version control
• Good understanding of Machine Learning concepts
• 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.
• Knowledge of data pipeline and workflow management tools
• Expertise in standard software engineering methodology, g. unit testing, test automation, continuous integration, code reviews, design documentation
• Familiar with Spark

Degree: University or advanced degree in engineering, computer science, mathematics, or a related field

Experience: Minimum 3/4 years of experience in Machine Learning Engineer role

Desired Tech Skills:  

• Software Engineering skills
• Experience with Container Pods using Docker and Kubernetes
• Familiarity with Big Data concepts and tools
• Spark optimization
• Code optimization
• Vertex AI expertise
• Prior experience with Jenkins scripting
• Good-to-Have Tech Skills:
• Agile development methodology knowledge
• Familiarity with Data science concepts
• API development experience

Disclaimer: The Recruitment Information provided above is for informational purposes only. The above Recruitment Information has been taken from the official site of the Organisation. We do not provide any Recruitment guarantee. Recruitment is to be done as per the official recruitment process of the company or organization posted the recruitment Vacancy. We don’t charge any fee for providing this Job Information. Neither the Author nor Studycafe and its Affiliates accepts any liabilities for any loss or damage of any kind arising out of any information in this article nor for any actions taken in reliance thereon.