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Deloitte Edge AI Engineer Senior Consultant in San Jose, California

Edge AI Engineer

The Team

Analytics & Cognitive

In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.

The Analytics & Cognitive team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.

The Edge AI Engineer will work with our clients to:

  • Design, implement, and optimize algorithms to run on edge devices

  • Design and implement the split/interaction between edge and cloud algorithms

  • Leverage the Edge compute available to run a variety of offline algorithms spawning multiple use cases (i.e. complex video analytics tasks)

  • Implementation of end-to-end ML Ops/analytics solutions as per the industry standard process

  • Explore, devise and implement ML algorithm stack

  • Experiment, prototype and finalize specific solution with the best business metrics

  • Design and implement architecture/tech stack for data integration, data flow and data storage for ML solutions

  • Deliver production quality, modular, reproducible code in Python

  • Create data visualizations to visualize raw data and analytics insights to demonstrate efficacy of the solution

Qualifications:

Required:

  • 3+ years of relevant Analytics consulting or industry experience

  • At least 2 years of experience in developing and deploying end-to-end AI/ML solutions in production environment with good working knowledge of the Linux operating system.

  • 2+ years of experience with Kubernetes and Docker

  • 2+ years of experience leading workstreams or small teams

  • Demonstrated expertise with one full life cycle analytics engagement across strategy, design and implementation.

  • BS or MS in Computer Science, Computer Engineering or similar field

  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve

Preferred:

  • Experience with TensorRT or OpenVINO

  • Ability to adapt and ramp up on Android and Linux

  • Exposure to reinforcement learning, supervised and unsupervised algorithms, various architectures of neural networks, time series forecasting, deep learning networks

  • Deep expertise in any specific application of ML and DL

  • Prior experience in building and deploying ML pipelines from data ingestion, preparation to deploying models in production

  • An understanding of various databases relational, NoSQL with prior experience in any DB

  • Exposure to ML and DL frameworks like TensorFlow, PyTorch, Caffe, etc

  • Familiarity with ML testing and data validation frameworks

  • Familiarity with IoT communication protocols like MQTT

  • Ability to work independently and manage multiple task assignments.

  • Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint).

  • Strong problem solving and troubleshooting skills with the ability to exercise mature judgment.

  • An advanced degree in the area of specialization

  • Limited immigration sponsorship may be available.

    All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

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