Machine Learning Engineer 

Key Skills

Agile methodologies, Apache Airflow, API, Automation, C++, Cloud computing, Data Analysis, Data pipelines, Data science techniques, Dataproc, Effective communication skills, English Proficiency, Google BigQuery, Google Cloud Platform (GCP), Java Programming, Machine learning techniques, MLflow, Optimization, Predictive Modeling, Python Programming, Scala Programming, Spark Core, SQL, VertexAI

Job Description

Levi's, a global leader in denim and casual wear, has been shaping the fashion industry since its inception in 1853. With a rich heritage of craftsmanship and innovation, Levi's is renowned for its iconic jeans and apparel, catering to diverse fashion tastes worldwide. As an industry pioneer, Levi's continues to evolve by embracing cutting-edge technology and data-driven insights to stay at the forefront of the fashion world.

The Levi's Data and AI team is at the heart of the company's digital transformation journey. Comprising talented professionals, our team leverages data and AI (Artificial Intelligence) to enhance various facets of our business, from optimizing supply chains and predicting fashion trends to providing personalized shopping experiences for our customers. We are seeking a Machine Learning Engineer to join our dynamic team in Bangalore, India, to further our data-driven initiatives and contribute to Levi's continued success.

Job Description

• 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.
• Implement end-to-end solutions across the full breadth of 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, 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 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

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 sharing.
• Ability to think logically and keep solutions simple.
• Excellent English communication skills to collaborate effectively with cross-functional teams.

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, e.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

Join the Levi's AMA Data and AI team in Bangalore and be part of our mission to revolutionize the fashion industry through data-driven innovation and excellence. If you are a seasoned Machine learning Engineer who is passionate about technology and thrives in a dynamic and collaborative environment, we want to hear from you. Together, we will shape the future of fashion with data and AI at its core.