Before u proceed below to check the jobs/CVs, please select your favorite job categories, whose top job alerts you want in your email & Subscribe to our Email Job Alert Service For FREE
Job Location: New York, NY
Overview:
eCommerce Senior Machine Learning Engineer:
PepsiCo operates in an environment undergoing immense and rapid change. Our ability to quickly make more data-driven decisions than our competitors is a key competitive advantage in the food and beverage space. PepsiCo’s eCommerce Data Engineering and Intelligence group is a team of data engineers, researchers, technology specialists, data scientists, and innovators who collaborate to build industry-leading systems and solutions.
While tied closely to broader PepsiCo, this group more closely resembles a start-up environment; embracing the core values of having a bias for action, being results-oriented, maintaining a community focus, and prioritizing people. By focusing on AI-driven decision support, as well as more traditional machine learning and automation, the Data Engineering and Intelligence group is pushing the bounds of possibility for PepsiCo and its strategic partners.
Pepsico eCommerce Data Engineering and Intelligence
Drives better decision making by creating decision support tools that range from BI dashboards to interactive AI applications
Builds machine learning systems to understand both consumers and the cross-channel grocery ecosystem
Performs statistical analysis across diverse datasets to drive and measure performance
Works with PepsiCo’s strategic partners to expand their technical capabilities, thereby creating a more robust data environment
Develops scalable tools to drive automation and optimize business operations
Drives improvements to experimental methodology and knowledge-sharing across the entire company
Position Overview :
As a Senior Machine Learning Engineer, you will be tasked with identifying, designing, and implementing data science/machine learning solutions to business problems. You will collaborate with the other teams to create a robust, shared codebase to build automated Machine Learning systems. You will work with internal business stakeholders and strategic partners to identify opportunities for collaborative development and foster a data-driven culture between relevant teams.
Responsibilities:
Work on state-of-the-art large-scale data analytics and machine learning projects
Build MLOps pipelines to support experimentation, continuous integration, deployment (CI/CD), verification, validation, and monitoring of ML models in production
Help build and implement software toolchain, processes, and templates for Data Science and ML team for development and deployment environments
Keep effective communication with team members to ensure user and technical issues are promptly prioritized and resolved
Monitor resource usage and plan for increased capacity
Continuously evaluate the latest packages and frameworks in the ML ecosystem
Create documentation and best practices to share with the ML community
Engage broadly with the organization to identify, prioritize, frame, and structure DevOps requirements for various ML projects
Covid-19 vaccination may be a condition of employment dependent on role and location. For specific information, please discuss role requirements with the recruiter
Qualifications:
6+ years of experience building machine learning systems
Advanced degree in Computer Science, Statistics, or related STEM field or bachelor’s degree in computer science
Strong programming skills, especially in Python, Golang, Scala, or C/C++ with relevant experience in a programming-intensive role.
Experience with distributed cloud computing platforms, particularly Kubernetes or the Hadoop/Spark ecosystem
Experience with Kubeflow and KServing
Familiarity with deep learning frameworks such as TensorFlow, Keras, Pytorch, Caffe, MXNet, etc.
Relevant work experience, including experience writing quality, well-documented and well-tested code for software services
Excellent communication and presentation skills
>:
BigDataKB.com Jyotish - Career & Life Prediction
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity
If you’d like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy.
