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AI Solution Architect

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!

Role Summary:

This role is responsible for designing and leading scalable AI/ML solutions, supporting presales activities, and bridging business and technical teams to deliver data-driven solutions.

Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field
  • Minimum 8 years of professional experience in AI, machine learning, or data-driven systems (10+ years preferred)
  • Proven experience designing and delivering AI/ML solutions in production environments at scale
  • Experience owning solution architecture decisions in enterprise-level projects
  • Experience working in client-facing or presales environments is required
  • Experience with Generative AI, LLMs, and agent-based systems (prompt engineering, agentic workflows)
  • Experience with vector databases (Pinecone, Weaviate, FAISS or similar)
  • Hands-on experience in building and deploying machine learning models in production (TensorFlow, PyTorch, scikit-learn or similar)
  • Experience with cloud platforms (AWS, Azure, or GCP) and MLOps tools (MLflow, Kubeflow, SageMaker or similar)
  • Knowledge of data engineering (SQL, data modeling, ETL/ELT, BigQuery, Redshift, Snowflake or similar platforms)
  • Experience with API-based and microservices architectures (REST APIs, event-driven systems, system integration)
  • Ability to translate business problems into AI-driven solutions (solution design, KPI alignment, presales support)
  • Experience working in client-facing or presales environments (technical presentations, solution proposals, stakeholder communication)
  • Ability to guide data scientists and engineers in model development, deployment, and lifecycle management
  • Strong communication skills with the ability to explain technical concepts to non-technical stakeholders
  • Experience ensuring data governance, security, and responsible AI practices

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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