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21 час назад

Senior Associate Consultant Engineer - AI

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior/lead
Английский
c1
Страна
Poland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Associate Consultant Engineer - AI (AI Ops/Python): Designing, deploying, and optimizing end-to-end AI pipelines with an accent on model automation, cloud infrastructure, monitoring, and scalable production environments. Focus on implementing deep learning solutions for image recognition, NLP, and speech recognition, troubleshooting pipeline reliability, and mentoring junior AI Ops Engineers.

Location: Warsaw, Poland. Hybrid working model with work-from-home and on-site presence at clients or hirify.global offices for most of the week. Client-facing roles require travel as needed.

Company

hirify.global is a management consulting and technology firm combining data, science, technology, and human ingenuity to develop solutions and technology products for clients in healthcare and other critical business areas.

What you will do

  • Design, develop, maintain, and optimize end-to-end AI pipelines for model training, deployment, inference, and automated scaling.
  • Collaborate with data scientists, machine learning engineers, DevOps teams, and business stakeholders to deliver reliable AI solutions.
  • Implement infrastructure as code and integrate AI pipelines into CI/CD workflows.
  • Deploy AI models securely into production and build monitoring for model performance, data drift, and data quality.
  • Design deep learning algorithms and neural networks for image recognition, natural language processing, and speech recognition.
  • Lead and mentor junior AI Ops Engineers while providing guidance on frameworks, deployment strategies, and observability.

Requirements

  • Bachelor’s degree or higher in Computer Science, Data Science, or a related field.
  • At least 4 years of professional experience in AI Ops, machine learning, and DevOps.
  • Professional proficiency in Python, SQL, and AI libraries such as TensorFlow or PyTorch.
  • Familiarity with cloud platforms such as GCP or AWS, plus Docker and Kubernetes.
  • Experience designing, implementing, and optimizing end-to-end AI pipelines and leading small engineering teams.
  • Fluent English and strong communication skills.

Nice to have

  • Certifications in AI, machine learning, or cloud platforms such as AWS, Azure, or GCP.

Culture & Benefits

  • Cross-functional skills development and customized learning pathways.
  • Milestone training programs aligned with career progression opportunities.
  • Internal mobility paths supporting individual contribution and role expansion.
  • Collaborative culture focused on continuous learning, innovation, health, well-being, financial security, and professional development.

Hiring process

  • Submit an online application with a full set of official or unofficial transcripts.
  • Candidates must possess or be able to obtain work authorization for their intended country of employment.

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