Source – https://www.analyticsinsight.net/
Land a career in AI with these top artificial intelligence jobs.
Artificial intelligence job prospects have grown in recent years as industry demand has expanded. The rumor that AI will generate a slew of new jobs is correct. Artificial intelligence appears to provide more opportunities than any other profession now available.
We’ve compiled a list of Pepsico Artificial Intelligence Job Openings that you can apply for right now.
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Architect, AI/ML Developer
Location: Hyderabad, Telangana
Responsibilities:
- This role will lead technical development within Artificial Intelligence/Machine Learning for PBNA Advanced Analytics. This will include design, implement, and maintain digital solutions for the PBNA sector.
- Set up and manage the company’s AI development and facilitate production infrastructure.
- Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products.
Architect – Robotic Process Automation (RPA) Lead Engineer
Location: Hyderabad, Telangana
Responsibilities:
- As an Automation Lead Engineer, you will be responsible for leading a team to the developer.
- You will work closely with teams to develop, test, implement new and existing automation processes.
- You will be exposed to a wide array of business applications that get tied together with the company’s robots and will create value for the organization by automating business tasks.
Architect – Data Science
Location: India
Responsibilities:
- This role will lead technical development within Artificial Intelligence/Machine Learning for PBNA Advanced Analytics. This will include design, implement, and maintain digital solutions for the PBNA sector. The role is responsible for:
- Set up and manage the company’s AI development and facilitate production infrastructure.
- Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products.
- Build data ingest and data transformation infrastructure.
Architect, Scrum Master, Azure, Data Science
Location: Hyderabad, Telangana
Responsibilities:
- As part of AMESA/APAC Data and Digital Solutions team, the job requires driving the automation, e-commerce, and Data Science, Data Modelling, Data Ingestion agenda.
- The person will deliver and lead development for EDW, Data Lake, Business Intelligence, Azure, and Advanced Analytics.
- One will be playing the role of scrum master across multiple projects.
Associate Director, SAP Cloud Infrastructure
Location: Hyderabad, Telangana
Responsibilities:
The Associate Director, Cloud Acceleration & Value Office will be responsible for the design, build, and deployment of infrastructure and environments required on private/public cloud for PepsiCo global SAP program – PepsiCo Global Template (PGT). This role is part of PepsiCo’s Acceleration & Cloud Office – a multi-discipline team responsible for architecting and delivering secure, robust, and innovative solutions which would enable the development teams to build and deploy new applications as well as migrate selected existing applications into the public cloud. The candidate will work alongside SAP solution architecture, Basis and Environment, Cloud Operations teams to design, build, deploy and sustain the systems and landscape.
Sr. ML Engineer
Location: Plano, TX
Responsibilities:
- Partner with a 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 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).
R&D Ana Tech Director (Director, Data Science – AI & ML)
Location: Valhalla, NY
Responsibilities:
- Provide leadership and strategy for AI/ML platforms to support R&D innovations and internal partners.
- Contribute to R&D digital strategy and be a liaison between AI/ML COE, the R&D stakeholders, IT, and vendors.
- Translate business needs and requirements into technical concepts and solutions.
- Work with Business as the AI/ML COE leader to understand the digital technology requirements, define the business problems and deliver solutions.
- Lead, develop, and inspire a high-performing team to build and scale solutions for R&D innovations.
ML Engineer
Location: Cornellà de Llobregat, Catalonia, Spain
Responsibilities:
- Partner with a data scientist working on discovery, prototypes, and pilot. Focus on experiment tracking.
- Work with data engineers regarding data pipelines and data versioning.
- Adopt the best MLOps standards to design and develop scalable end-to-end machine learning pipelines.
- Build and deploy machine learning models that run in cloud pipelines.