8 days old

Principal ML Engineer

Plano, TX 75074
Auto req ID: 275298BR Job Description With data deeply embedded in our DNA, PepsiCo Data & Analytics transforms data into consumer delight. We build and organize business-ready data that allows PepsiCos leaders to solve their problems with the highest degree of confidence. Our platform of data products and services ensures data is activated at scale. This enables new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise. The Data Science Pillar in D+A will be the organization where Data Scientist and ML Engineers report to in the broader D+A Organization. Also DS will lead, facilitate and collaborate on the larger DS community in PepsiCo. DS will provide the talent for the development and support of DS component and its life cycle within D+A Products. And will support pre-engagement activities as requested and validated by the prioritization framework of D+A. Position Overview: Your role will be to be part of growing team based in Gurgaon and Hyderabad, to create and support global digital developments for PepsiCo. These developments will be around topics like revenue management, supply chain, manufacturing, logistics. You will be part of a collaborative interdisciplinary team around data, where you will be responsible of our continuous delivery of statistical/ML models. You will work closely with process owners, product owners and final business users. This will provide you the correct visibility and understanding of criticality of your developments. You will be an internal ambassador of the teams culture around data and analytics. You will provide stewardship to colleagues in the areas that you are an specialist or you are specializing. Primary Accountabilities: Lead other team members in a digital project acting as tech lead for the project. Act as a subject matter expert in one other digital project. Act as lead contributor in innovation activities Partner with product managers in taking DS requirements and assessing DS components in roadmaps. Partner with data scientist working on discovery, prototypes and pilot. Focus on experiment tracking. Partner with data engineers regarding data pipelines and data versioning. Coordinate work activities with IT services and vendors as required. Drive the use of the Platform toolset. Build, deploy or publish machine learning models that run efficiently in cloud pipelines. Help drive optimization, testing, and tooling to improve quality (unit tests). Monitor model performance (model decay), working with data scientists assessing bias and fairness. Prototype new approaches and build solutions at scale. Support large-scale experimentation done by data scientists. Influence product teams through data-based recommendations. Research in state-of-the-art methodologies. Create documentation for learnings and knowledge transfer. Create and audit reusable packages or libraries. COVID-19 vaccination is a condition of employment for this role. Please note that all such company vaccine requirements provide the opportunity to request an approved accommodation or exemption under applicable law Qualifications/Requirements 6+ years working in a team to deliver production level analytic solutions. 6+ years experience in ETL and/or data wrangling techniques. 6+ years experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems. Experiences with Deep Learning are a plus. 6+ years experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Scala development. Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities Experience with Agile methodology for team work and analytics product creation. Fluent in Jira, Confluence. Fluent with Azure cloud services. Certification is a plus. Fluent in git (version control) Fluent in Docker Fluent in Jenkins Fluent with design and management of APIs. Experience with K8s is a plus. Experience with working with FAIR data is a plus. Experience with Responsible AI is a plus. Experience with distributed systems is a plus. Experience with Databricks and Mlflow is a plus Experience with ELK is a plus. Experience with ML security is a plus. Differentiating Competencies Required: Creative and collaborative mindsets. Translates complex technical solutions into business understanding. Creates solutions with the ability to continually prove accuracy and with a design goal of productization/ reusability.Relocation Eligible: Not Eligible for Relocation Job Type: Regular 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 Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901 - 4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance. 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 Please view our Pay Transparency Statement","city":"Plano","state":"Texas

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Posted: 2022-05-10 Expires: 2022-06-09

Performance with Purpose


Out performing ourselves is a rush. That's why we perform with purpose. Together, we blaze new trails, succeed, celebrate and then do something even bigger. We never settle for second best. At PepsiCo we're not just committed to performing well as individuals, but as a team, to strengthen the company as a whole.

Around the world, we're working hard to give people the tastes they crave and the nutrition they need. We dream globally and act locally, constantly innovating to sustain our planet, our people, our communities and our business practices. New markets mean new ways of doing business, and new ways of addressing health concerns, cultural differences and environmental challenges. Every day is an adventure, and an opportunity for personal and professional growth.

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Principal ML Engineer

PepsiCo Inc.
Plano, TX 75074

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