AI & NLP automatic specialist for the design, development and implementation of the edge edge systems. This role will focus on enhancing translation systems using advanced NLP and AI (Genai) technologies. The ideal candidate will have extensive experience in the life cycle of comprehensive automatic learning (ML), LLMS models, and the ability to create AI solutions that can be developed, safe and effective.

Main responsibilities
• Design and improving translation systems to benefit from advanced NLP technologies and artificial intelligence technologies (GENAI).
• Focus on providing accurate and multi -language solutions with the allocations for the field to meet the various customer needs.
• Performing performance continuously using measures such as Bleu degrees and human evaluation criteria.
• Get ownership of the entire automatic learning pipeline, from initial models and verifying the authenticity of the concept to spreading the developmentable production.
• Cooperation with multi -function teams to align solutions with work goals and ensure smooth integration.
• Implementing monitoring frameworks to track the performance of the model, discovering abnormal cases, and ensuring reliability in production.
• Automation of pipelines to re -train models and refine them to process data erosion and maintain accuracy.
• Spreading the developmental inferior significance points that deal with simultaneous requests efficiently while maintaining a low transition time.
• Ensuring compliance with safety standards, including encryption, access control, and API ratification.
• Developing well -documented application programming facades to enable smooth integration of Genai’s capabilities in external applications and systems.
• Support API version and updates to meet advanced requirements.
• Work with vertical databases and graphs to enable effective generation systems (RAG).
• Improving data recovery processes and evaluating rag metrics, such as accuracy and importance, to ensure high -quality results.

requirements
Deep understanding of the full ML life cycle, including development, training, publishing and maintenance.
• Efficiency in tools such as weights and biases (W & B) or MLFlow to track and manage experiments.
• Strong Bethon programming skills, with experience in ML libraries such as Langchain, Llamaindex, PyTorch, Tensorflow, Numby, Scipy, Pandas, Scikit-Learn.
• Experience of designing application programming facades with best practices in the industry.
• A strong knowledge of large language models, including open and commercial applications, and their practical applications.
• The basic experience in building or publishing artificial intelligence agents of specialized tasks.
• Practical experience with vertical databases and graphs, including understanding the measures to assess rag systems.
• Efficiency in cloud platforms, preferably Google Cloud (GCP).
• IFAL with Docker and Containerization techniques.
• The ability to ensure that Genai’s deployments are developed, safe and effective.

a company:

Welocalize

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Experience level (years):

Senior (5 years of experience)

Seasoning as follows: industryand Language modelingand Automated learningand NLPand UK