PepsiCo | Hiring | Lead Engineer1, Computer Vision & Artificial Intelligence | BigDataKB.com | 1/11/2022

Job Description

Purpose:
As an AI and Computer Vison Engineer, you will support software Developers, data analysts and data scientists on Computer Vision initiatives and will ensure data delivery architecture is consistent throughout ongoing projects.

Accountabilities:

• Working with the data science team to research, develop, evaluate and optimize various computer vision and deep learning models for different problems.
• Explore and analyze unstructured data like images through image processing.
• Take ownership to drive computer vision solutions and meet customer requirements.
• Deploying developed computer vision models on edge devices after optimization to meet customer requirements and maintain them to later improve to address additional customer requirements in future.
• Implement techniques to acquire, discover and explore unstructured data for analytics
• POC / POV and prototyping data and analytics solutions and derive viability
• Ensure data quality, integrity, security and completeness throughout the data lifecycle
• Work with business stakeholders to understand requirements and business use cases and translating data into metrics, KPI, and solutions
• Develop deep understanding of the data sources, implement data standards, maintain data quality and master data management
• Build and meet project timelines and manage delivery commitments with proper communication to stakeholders
• Collaborate and communicate with key business lines, technology partners, vendors and architects

Qualifications/Requirements

Yrs of Exp:

• 5+

Mandatory Technical Skills:

• Degree in Computer Science or Engineering or Equivalent with 5+ years of relevant experience in Computer Science/ Data Science, Machine Learning or related fields preferred but candidates with Bachelor’s degree in computer science are also welcome to apply provided they have a strong technical knowledge and experience in computer vision.
• At least 2 years of experience in computer vision and/or deep learning for object detection and tracking along with semantic or instance segmentation.
• Experience with any machine/deep learning frameworks like Tensorflow, Keras and PyTorch.
• Experience in training models through GPU computing using NVIDIA CUDA or on cloud.
• Ability to transform research articles into the working solutions to solve real-world problems.
• Strong experience in using both basic and advanced image processing algorithms for feature engineering.
• Proficiency in Python and related packages like numpy, scikit-image, PIL, opencv, matplotlib, seaborn, etc

Mandatory Non-Technical skills:

• Excellent written and verbal communication skills for effectively communicating with the team and ability to presenting information to varied technical and non-technical audience.
• Must be able to produce solutions independently in an organized manner and also be able to work in a team when required.
• Experience with API / RESTful data services

Differentiating Competencies:

• Must be a team player, ability to work to balance between multiple deliverables.
• Advanced knowledge in performance, scalability, numerical accuracy and best practices for implementing various solutions.
• Proficiency with edge computing principles and architecture preferably for NVIDIA Jetson devices and Raspberry Pi.
• Experience in different model optimization techniques apart from hyperparameter tuning to reduce memory usage without hindering the performance for deploying on edge devices.
• Proficiency with Azure cloud computing environments.
• Exposure to IoT technology.
• Experience in Agile Application Development and Scrum methodologies to develop efficient, maintainable, readable and production-ready pipelines.
• Must have curiosity, eagerness and motivation to be involved in Data Science and Image Processing.

Relocation Eligible: Eligible for Standard Relocation
Job Type: Regular