AI Engineer

Closed

Engineering Apache Kafka Prometheus Monitoring Grafana Hive

Icon Location 勤務地
Dubai
Icon Vacancies 総空席数
5 人

福利厚生

フレックスタイム フレックスタイム
無料宿泊施設 無料宿泊施設
その他の福利厚生 その他の福利厚生
年間給与の見直し 年間給与の見直し
旅行/会社の旅行 旅行/会社の旅行
仕事用のノートパソコン/デスクトップ 仕事用のノートパソコン/デスクトップ
業績ボーナス 業績ボーナス
無料のランチと軽食 無料のランチと軽食
追加の健康保険 追加の健康保険
13ヶ月目の給与 13ヶ月目の給与
フル社会保険 フル社会保険
無料ビザと就労許可 無料ビザと就労許可

職務概要

We are seeking a highly skilled AI Engineer with expertise in Natural Language Processing (NLP) and Large Language Models (LLM) to join our AI and Data Team. The ideal candidate will be responsible for designing, developing, and deploying state-of-the-art NLP and LLM solutions to address complex business challenges. This role requires a deep understanding of machine learning, NLP techniques, and experience with large-scale model training and deployment. Model Development: ● Design, develop, and enhance NLP and LLM models for diverse applications including customer support, chatbots, and automated assistance tools. ● Conduct research and experiments to advance the state-of-the-art in NLP and LLM. Data Management: ● Collect, preprocess, and curate large datasets for training and evaluation of NLP, LLM models. ● Implement data augmentation and enhancement techniques to improve model robustness. Model Deployment: ● Deploy and maintain NLP, LLM models in production environments, ensuring high availability and performance. ● Develop APIs and services to make NLP, LLM capabilities accessible to other teams and applications. Collaboration: ● Work closely with data scientists, software engineers, and domain experts to understand requirements and deliver tailored NLP solutions. ● Provide technical guidance and mentorship to junior team members. Performance Monitoring: ● Implement monitoring and logging for deployed models to ensure performance, reliability, and scalability. ● Conduct regular evaluations and fine-tuning of models based on feedback and new data. Documentation and Reporting: ● Document methodologies, experiments, and results comprehensively. ● Communicate findings and progress to stakeholders through reports and presentations. Continuous Improvement: ● Stay updated with the latest advancements in NLP, LLM, and AI research. ● Contribute to the continuous improvement of the team's processes, tools, and methodologies.

必要なスキルと経験

Education: ● Master’s or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience: ● Minimum of 3-5 years of experience in developing and deploying NLP, LLM models. ● Proven experience with large language models (e.g., GPT, BERT, llama, Mistral) and deep learning frameworks (e.g., TensorFlow, PyTorch). Skills: ● Strong programming skills in Python and familiarity with NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK). ● Expertise in machine learning algorithms, neural networks, and statistical modeling. ● Experience with cloud platforms (e.g., AWS, GCP, Azure). ● Strong problem-solving skills and the ability to work independently and collaboratively.

この求人に応募する理由

● A competitive salary package that fits your skills, experiences, and contributions. ● Supporting staff with accommodation, meals, and working visa. ● Holiday and New Year bonus. ● Provision of necessary working equipment (MacBook/iPhone). ● A professional, dynamic, and inclusive working environment. ● Expense support for employees to visit home: twice a year.

UNEYについて

UNEY is a leader in secure communications, committed to building platforms that are user-friendly and privacy-first.

We empower businesses and individuals to connect seamlessly and safely across any environment.

Our Values

We uphold integrity, prioritize people, foster collaboration, innovate boldly, and safeguard privacy with high standards.

Our Vision

We build secure platforms that elevate collaboration and information sharing through technological innovation and human-first design.

Our Mission

To safely connect people in thought, talent, and technology.

 


仕事に関するQ&A

Max salary is 1500$ can it be negotiated?

Yes we are open for negotiation

Master’s or PhD degree is must?

It is preferable, still open for Bachelor

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