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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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По международному рынку данных пока нет
На СНГ рынке: $4.2к/мес ($3.2к - $4.4к)
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Зона ответственности описана чётко и охватывает полный цикл production ML, но консалтинговый формат и график по времени ОАЭ могут заметно влиять на повседневную работу.
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Работа на клиентаСовременный стекПолный цикл MLФокус на AI
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Scientist (AI/ML): Building and deploying predictive and optimization models for marketplace metrics, conversion rates, and revenue generation with an accent on AWS-based ML lifecycle management, statistical modeling, and production experimentation. Focus on designing MLOps and monitoring systems, optimizing inference scalability, and translating ambiguous commercial problems into high-impact data initiatives.
Location: Remote from Serbia; able to accommodate UAE working hours
Company
hirify.global is a boutique technology services and consulting firm helping global organisations with digital transformation, product development, software engineering, AI and data, and customer experience.
What you will do
Design, train, and validate predictive and optimization models using classical machine learning, statistical modeling, and deep learning.
Own the end-to-end machine learning lifecycle on AWS, including SageMaker, Lambda, ECS, MLOps, CI/CD pipelines, and automated retraining.
Build evaluation pipelines, A/B testing frameworks, and hypothesis-testing processes to measure model efficacy in production.
Establish monitoring for data drift, concept drift, and post-deployment system health.
Collaborate with software and platform engineering teams to improve inference latency, throughput, and scalability.
Partner with Product, Commercial, and Strategy stakeholders to translate ambiguous commercial problems into data initiatives and communicate quantitative findings to technical and executive audiences.
Requirements
4+ years of hands-on experience in Data Science or Advanced Analytics delivering measurable, production-grade business impact.
Advanced Python proficiency, including Pandas, NumPy, and Scikit-learn, plus complex SQL querying.
Practical experience with PyTorch or TensorFlow and deep learning frameworks.
Experience deploying, scaling, and maintaining machine learning workloads on AWS, including SageMaker, ECS, and Lambda.
Strong theoretical and applied knowledge of statistical inference, experimental design, and supervised and unsupervised machine learning.
Experience with Generative AI workflows, LLM orchestration, and advanced prompt engineering.
Bachelor’s or higher degree in Data Science, Computer Science, Mathematics, Statistics, or an equivalent quantitative discipline.
Nice to have
Hands-on experience with model interpretability and explainability frameworks such as SHAP and LIME in regulated or customer-facing environments.
Previous experience in Computer Vision or Natural Language Processing.
Culture & Benefits
Opportunity to join a fast-growing organization focused on changing how software products are built.
Multicultural community of technology experts across Europe, the Americas, and the Middle East.
Highly competitive compensation package.
Continuous learning and development support with access to advanced AI and machine learning tools and platforms.
Inclusive workplace and equal employment opportunities.
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