AmorServ is a global provider of onsite IT support services, Project management services and IT staffing. We also provide 24x7x365 deployment and break/fix services to our clients to ensure that their technology is available when they need it. With coverage in over 150 countries, we can handle your extremely challenging locations. Our technology-based quality approach ensures that technicians are well prepared prior to their arrival onsite, and upon job completion, we provide our clients with high-quality deliverables based on the results obtained onsite. We believe we have found the right formula to meet the specific needs of IT teams in most organizations. We provide project-based support for any IT or digital transformation need, as well as recurring managed technology services locally or globally. AmorServ keeps your business healthy by keeping your clients happy—from Project Management to Professional IT Services and IT Staffing, we provide IT support globally.

Job description

Role: AI Engineer (Computer Vision)

Location: San Francisco, California (Remote)

Years of Experience: 3-5 years

Pay: $130,000 - $180,000 PA

Required Skill: Python,TensorFlow/PyTorch/Keras/scikit-learn

Requirements

You will need to have great strength with Python and various deep learning frameworks such as Pytorch/ Keras/ Tensorflow
3+ years experience building ML models in production settings, deploying models in a production environment (research-only/ non-commercial only experience will not be considered)
Strong understanding of the following - LLM's and diffusion models, GPU/ CPU optimization, mahine learning concepts, algorithms and techniques (inc. computer vision models)
Strong communication and leadership qualities

**Needs to have a flexible approach to working with teams in different timezones**

Responsibilities

Design and develop performant algorithms and AI models, specializing in production-level AI and leveraging advanced computer vision techniques.
Engage in cutting-edge AI research to push the boundaries of what is possible with both CNN/Transformer and generative models.
Work closely with cross-functional teams to integrate AI solutions into our products and services, optimizing for technical and cost performance, and aligning with user needs.
Apply in-depth technical knowledge to solve complex problems in AI, driving innovation in our product.
Stay up-to-date with the latest advancements in AI/ML technologies and methodologies, evaluating and adopting new tools and frameworks as they are released.
Ensure the responsible use of AI within projects, advocating for ethical practices, including transparency, diversity, and privacy.

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