| Lead ML Engineer (Vertex AI , GCP , Kubeflow , CI/CD , Python , BigData)@Remote at Remote, Remote, USA |
| Email: [email protected] |
| Passport Number is Mandatory Hi, Greetings From Ampstek !! We are a Global staffing firm and we are Tier 1 vendor for all requirements and we can close positions immediately. Please review our job opening below and kindly send us the updated resume ASAP along with the details of consultants; Please add [email protected] in your distribution list. Principle/Lead ML Engineer (Vertex AI , GCP , Kubeflow , CI/CD , Python , BigData) Remote (EST Hours) Contract 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, mls 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 About You University or advanced degree in engineering, computer science, mathematics, or a related field 7+ years' experience developing and deploying machine learning systems into production, and independent contributor. Comfortable with Python ecosystem, vscode, jupyternotebooks. Experience working with big data tools: Hadoop, Spark, Kafka, etc. Experience with at least one cloud provider solution (AWS, GCP) and understanding of serverless code development (GCP preferred) Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc. (Python preferred) CI/CD expert. And can work on GitHub actions, harness, Jenkins Can work with Google Big Query, or similar warehouse. Work on Kubeflow pipelines independently and propose standards. Knowledge of Feature Engineering, Feature Store, and audit capabilities. 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 Thanks & Regards Manjit Kumar Singh : [email protected] Contact Number: 609-360-2601 See what's happening on our social sites Organization Name | 103 Carnegie Center Drive, Suite 300, | Princeton, NJ 08540 US | Update Profile | Constant Contact Data Notice Keywords: cplusplus continuous integration continuous deployment artificial intelligence machine learning Colorado New Jersey Lead ML Engineer (Vertex AI , GCP , Kubeflow , CI/CD , Python , BigData)@Remote [email protected] |
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| Thu Jun 06 20:25:00 UTC 2024 |