OREDATA

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.

• Participate in 3 months of training and hands-on tasks • Join one of Oredata's teams after training

• 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.