We are currently looking for Field Application Engineers for Artificial Intelligence projects. You will find chance to meet various Artificial Intelligence partner companies and experience many difference Software technologies related with Al.

You will be responsible to help Huawei Artificial Intelligence Solutions Development Partners / Independent Software Vendors to develop their own Al solutions on top of Huawei's cutting-edge Ascend AI Ecosystem. If required you will be joining our partner's team and complete/improve their Al / Machine vision-based projects. You will then design an artificial intelligence solution based on Huawei components and you will be responsible for the ML/DL infrastructure. Overall, you will be a member of the Atlas AI Ecosystem’s technical team and spend most of your time coding, supporting ecosystem (joining events, preparing new articles in medium, creating opensource sample repos, etc.) while also advising and guiding our client in Turkey, Europe and Middle East.

Key Responsibilities:

• Supporting application porting such as ML/DL model migration or framework conversion by leveling up exist applications performance.
• Giving workshop training to domestic/international partners/customers about Huawei AI/Cloud solutions such as MindSpore, ModelArts, ACL, etc.
• Maintaining awareness of the stat-of-the-art application of AI in cloud and edge stations.
• Monitoring and troubleshooting of ML/DL models in-production/development.
• Being active part of the community for Huawei Ascend AI Ecosystem by providing external activities, medium articles, trainings or sample codes.
• Working closely with Headquarters, partners and customers to create smooth project development process and achieve success.
• Developing and deploying scalable tools and services for clients/partners to handle ML/DL training and inference process.
• Facilitate the development and deployment of Proof-of-Concept (POC) for ML/DL systems.
• Communicating with Clients/Partners to build requirements and track progress.

Minimum Qualification:

• Bachelor degree in Computer Science/Electrical & Electronics/Software Engineering or a related field of study,
• Good command of English with strong communication skills,
• Being open to domestic and international business travel,
• Ability to translate business needs to technical requirements,
• Min.2 Years of programming experience with Python (upper-intermediate) programming languages and/or C/C ++ (beginner) programming languages,
• Experience with Linux operating system, command, shell scripting and version control systems like Gitee,
• Familiarity with AI or Machine Vision or Deep Learning approaches and frameworks (PyTorch, Caffe, TensorFlow, MindSpore, etc.).

Preferred Qualifications:

• Familiarity with developing AI models in the cloud computing services such as AWS, Microsoft Azure, etc., and MLOps concepts,
• Familiarity with REST API frameworks such as Flask, Django, FastAPI, Falcon, etc.
• Experience with Containers, including iSula and Docker.
• Familiarity with CUDA/CuDNN and HPC solutions,
• Understanding of software testing, benchmarking, and continuous integration.

Personnel Skills Required:

• Agile oriented; focused on delivery and customer first.
• Adaptive; responsive for on-demand changes (a fast-paced environment in an industry that constantly changes).
• Dedicated; working hard to finish tasks on-time with high quality.
• Team Player: Working with team members and other members to achieve a shared goal or outcome in an effective way; taking initiative to support others.
• Creative and resourceful when it comes to problem-solving
• Having a positive attitude; extends to coworkers and makes the workplace have a cheerful atmosphere.