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AI Solution Architect

Roles & Responsibilities

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • 7-15 years of experience in traditional ML/Generative AI.
  • Proven experience designing and deploying ML models in production (e.g., TensorFlow, PyTorch, or scikit-learn).
  • Strong knowledge of cloud platforms (Azure, AWS, or GCP) and MLOps frameworks (Kubeflow, MLflow, SageMaker, etc.).

Requirements:

  • Lead the design and architecture of scalable AI and ML solutions across cloud and on-prem environments.
  • Translate business challenges into AI-based solutions, guiding presales discussions and aligning proposals with KPIs.
  • Collaborate with cross-functional teams to integrate AI components into existing enterprise systems.
  • Provide technical guidance to delivery teams, helping data scientists and engineers with model development, deployment, and lifecycle management.

Job description

OREDATA is a Digital Transformation & IT Consulting firm with 10+ years of proven expertise and hundreds of successfully implemented projects across the EMEA region. When you join the OREDATA team, you'll be working hand-in-hand with experts focused on tackling digital, operational, analytical & data science challenges with the greatest impact. We foster collaboration with proximity, an agile and autonomous approach and best practices and guiding principles.

Read more: https://medium.com/@oredata-engineering

Apply and be part of our exciting journey!

Responsibilities:

  • Lead the design and architecture of scalable AI and ML solutions across cloud and on-prem environments.
  • Translate business challenges into AI-based solutions, guiding presales discussions and aligning proposals with KPIs.
  • Collaborate with cross-functional teams to integrate AI components into existing enterprise systems.
  • Provide technical guidance to delivery teams, helping data scientists and engineers with model development, deployment, and lifecycle management
  • Evaluate emerging AI technologies and tools, contributing to the company’s AI roadmap and standards.
  • Ensure compliance with data governance, security, and ethical AI principles.
  • Present technical concepts to non-technical stakeholders in a clear and structured manner, especially during client engagements and presales activities.

Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
  • 7–15 years of experience in Traditional ML/Generative A
  • Proven experience designing and deploying ML models in production (e.g., using TensorFlow, PyTorch, or scikit-learn).
  • Strong knowledge of cloud platforms (Azure, AWS, or GCP) and MLOps frameworks (Kubeflow, MLflow, SageMaker, etc.).
  • Strong data engineering skills, including SQL, data modeling, ETL/ELT processes, and experience with cloud data platforms (BigQuery, Redshift, Snowflake, etc.).
  • Solid understanding of APIs, microservices, and event-driven architectures.
  • Strong knowledge of LLMs, agentive AI, and vector databases is a plus
  • Excellent communication and presentation skills, with the ability to work across business and technical teams and drive presales/client discussions
  • Must be based in Istanbul or willing to relocate.

Get to know us

If you want to know more about us and what we do, then visit our website: www.oredata.com

Why Oredata?

  • Remote working and flexible time off
  • Open communication, flexibility and start-up spirit
  • Learning & Development opportunities for both personal and professional growth
  • Opportunity to get company paid Professional Certificates (Google Cloud Platform, Confluent Kafka, etc)
  • Access to Online Training Platforms (Udemy, Pluralsight, A Cloud Guru, Coursera, etc.)
  • Dynamic work ecosystem where you can take initiative and responsibility
  • Opportunity to work on international projects
  • Private Health Insurance
  • Birthday Leave Policy

Kişisel verileriniz işe alım sürecinin yürütülebilmesi amacıyla veri sorumlusu sıfatıyla şirketimiz Oredata Yazılım A.Ş. tarafından işlenecektir. Kişisel verilerinizin işlenmesi ve haklarınızla ilgili detaylı bilgiye https://oredata.com/personal-data-protection-policy/ bağlantısı üzerinden ulaşabilirsiniz.

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