AI Engineers (Search/Recommendation)

We are looking for "AI Engineers (Search\Recommendation)" on behalf of out global business partner.

As a part of our AI teams you'll work with talented AI engineers at every level to improve our search and recommendation solutions within AppGallery. This role allows you to directly affect user experience of millions of AppGallery users.

You'll have a chance to thrive in a multinational environment. Within this role you can expect to carry out following tasks;

Key Responsibilities:

• Design, develop, and optimize retrieval models (RMs), language models (LMs) and ranking models for efficient and accurate search functionality in app store domain.
• Implement NLP techniques and train, evaluate (offline & online), optimize deep learning models to enhance semantic search capabilities.
• Design, build and deploy scalable ML services on Huawei's MLOps platform to address business requirements.
• Collaborate with cross-functional teams to analyze complex data requirements and design innovative software solutions.
• Conduct code reviews to ensure high-quality, maintainable, and efficient code following industry best practices.
• Mentor and guide junior engineers in the areas of search, information retrieval, deep learning, and NLP.
• Stay updated with the latest advancements in search, information retrieval, ranking, deep learning and NLP and integrate them into our products and services.
• Produce academic outputs in the form of papers, patents, and technical talks.

Qualifications:

• Minimum MS degree or PHD degree with focus on NLP, IR and DL, preferably in a computer science & engineering or related fields.
• Minimum 3 years of experience preferably in industry.
• Strong Python programming skills with proven experience crafting, prototyping, and delivering machine learning solutions into production.
• Experience with popular deep learning frameworks (TensorFlow, PyTorch) and ML & NLP libraries.
• Publication records in journals or conferences related with IR, NLP especially in the areas of vector search, dense retrieval, semantic search and ranking.
• Experience in integrating retrieval models (RMs), language models (LMs) and ranking models for large-scale search engines using these specialized techniques.
• Previous project experience in search or recommendation systems domain is a big plus.
• Java service development experience using Spring and related topics & technologies is a plus (RESTful services, Redis, ElasticSearch, RDBMS)
• Fluency in English is important, reading/writing skills in Russian and/or Arabic is a plus.

Am i right for the team?

• If you're excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data, you can be perfect fit for the task at hand.
• If you're easy to communicate, open for suggestions and improvements, can work independently, pro-actively and well aligned then you can be perfect fit for our team culture.