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Veracity Group

AI & AR Technology Lead

Remote — United States (see country and timezone requirements)

Check who can apply and the requirements below before continuing.

Job description

AI & AR Technology Lead

We are seeking a visionary AI Leader with a strong background in AR SDKs, rendering engines, and GPU programming. This individual will play a pivotal role in conceptualizing, scoping, and delivering cutting-edge AI/ML projects, particularly in the augmented reality (AR) domain. The ideal candidate will combine technical expertise with leadership skills to drive innovation and foster a high-performing team.

The Role :

Lead the AI/ML team, establishing best engineering practices (coding standards, automated testing, scalability).

Oversee the development and maintenance of AI/ML models with a focus on AR technologies.

Conceptualize and implement AI/ML projects utilizing AR SDKs (e.g., ARKit, ARCore, Vuforia).

Collaborate with leadership and business units to deliver impactful AI solutions.

Stay abreast of the latest developments in AR, rendering engines (Unity, Unreal, WebGL), and GPU programming (CUDA, OpenGL, OpenCL).

Drive innovation by integrating AR capabilities into AI solutions.

Create research and insightful projects that get the organizations and team exposed to new interesting projects and ideas.

Ensure timely delivery of high-quality projects by applying agile methodologies.

Provide ideas and insights into new business models that could be enabled using Al.

The Person:

Masters or bachelors degree in computer science, Data Science, or a related field.

Extensive experience with AR SDKs (ARKit, ARCore, Vuforia).

Proficiency in rendering engines (Unity, Unreal, WebGL).

Expertise in GPU programming (CUDA, OpenGL, OpenCL).

Strong programming skills in Python and at least one other language.

Familiarity with cloud AI/ML services (AWS, GCP, Azure).

Minimum 5-7 years of prior experience in similar role with related professional qualifications.

Up-to-date with Al research areas and current trends.

Understanding of the software development lifecycle and DevOps for ML pipeline automation.

Stay up-to-date with current developments in the field of Al - Safe Al. Ethical Al, Fair Al etc.

Cloud Al/ML services on AWS, GCP, Azure.

Cloud computing services.

Knowledgeable about Big Data technologies and related cloud services.

Software development lifecycle, project implementation methodologies such as agile etc.

Infrastructure knowledge for deciding physical/virtual m/c for model retraining etc.

Managerial /Attitude Skills :

Passionate to learn and build things.

Understand limitations in resources as a start-up and be willing to do what is necessary to get the job done.

Experience in developing teams from scratch a plus.

Strong business understanding. Worked in developing analytics solutions.

Originally posted on Himalayas

Who can apply

Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.

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