Ml Engineer
hace 1 semana
Overview:
Are you ready to** drive PepsiCo’s digital evolution** and accelerate transformation across our global operations?
As **ML Engineer** within a DS department, you will be designing and implementing software to complement DS developments, providing an engineering point of view to their ML solutions. More specifically, you will be working very closely with DS enriching a structuring their solution by:
- Building components related CI/CD, monitoring, model explainability, data and model drifting, or ML lifecycle management.
- Enhancing the collaboration between DE and DS by defining Data Quality validation or linking Data and ML pipelines.
- Working with IT teams to define templates and/or processes to facilitate the developments and deployments of ML solutions.
- Contributing with DS teams as Software Engineer/Developer, boosting the reusability of their solution.
You will be an internal ambassador of the team’s culture around data and analytics. You will provide stewardship to colleagues in the solution development landscape and further lead the onboarding of new developments in AI within the PepsiCo domain leading the development of best practices and standard ways of working.
**Responsibilities**:
**Your day to day with us**
- Develop and maintain scalable, modular and reusable software components, guidelines, and templates related to data and ML projects.
- Serve and support the integration and adoption of software components, guidelines, and templates in new and existing ML solutions.
- Identify and audit reusable components developed for specific projects.
- Design and implement the required enhancements to make project developments reusable in other projects.
- Definition of standard ways of working and best practices of software development.
- Enhance the cross-functional collaboration between Data Scientists, Data Engineers, Software Engineers, and IT.
- Contribute to the development of ML solutions to serve specific business requirements.
- Research in state-of-the-art tools and methodologies.
- Create documentation for learnings and knowledge transfer.
Qualifications:
**What you will need to suceed**
- 2+ years working in a team delivering production level ML solutions.
- 2+ years of experience in ETL and/or data wrangling techniques.
- 2+ years of experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems.
- Experienced with Python and SQL.
- Practiced in Git.
- Practiced in at least one cloud computing platform (Azure, AWS, Google Cloud). Azure preferred. Certification is a plus.
- Practiced in Databricks and/or Azure ML. Experience with Kubernetes is a plus.
- Practiced in Spark or other distributed data/ML frameworks.
- Familiar with MLflow.
- Familiar with Docker.
- Familiar with Object Oriented Programming.
- Familiar with Agile methodology.
**Additional qualifications that will make you stand out for this position**
- Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities.
- Creative and collaborative mindsets.
- Translates complex technical solutions into business understanding.
- Proactive mindset to challenge the existing developments and to seek for opportunities to improve them with a design goal of productization/ reusability.
- Business storytelling and communicating data insights in business consumable format.
**What makes us different?**
- Hybrid work model: combination of remote and collaborative office experience to enable innovation
- Entrepreneurial environment in leading international company
- Professional growth possibilities & learning opportunities
- Variety of benefits to support your physical, emotional and financial wellbeing
- Volunteering opportunities to help external communities
- Diverse team with more than 30% of female representation & over 30 nationalities
- Have a stake in D&I strategy and bring your whole self to work
**About PepsiCo**
We believe that culture should be at the cornerstone of everything we do at PepsiCo. We are agile, innovative and not afraid of failure. We want our team to come to work every day excited to explore new ways to bring enjoyment, refreshment and fun to the world.
PepsiCo Positive (pep+) is the future of our organization - a strategic end-to-end transformation, with sustainability at the center of how we will create growth and value by operating within planetary boundaries and inspiring positive change for the planet and people.
So, if you’re ready to be a part of a playground for those who think big, we’d love to chat.
- We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability
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