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2 дня назад

Senior Data Scientist (AI/ML)

Формат работы
remote (только Serbia)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Serbia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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