AI Solution Architect at Oredata Yazılım Anonim Şirketi

Istanbul, Istanbul, Turkey -

Full Time

Start Date

Immediate

Expiry Date

21 Jan, 26

Salary

0.0

Posted On

23 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Solutions, ML Solutions, Cloud Platforms, Data Engineering, APIs, Microservices, Event-Driven Architectures, Communication Skills, Presentation Skills, Technical Guidance, Data Governance, Ethical AI, Model Development, Deployment, Lifecycle Management, Emerging Technologies, AI Roadmap

Industry

Information Technology & Services

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.

Responsibilities

Lead the design and architecture of scalable AI and ML solutions while translating business challenges into AI-based solutions. Collaborate with cross-functional teams and provide technical guidance to ensure successful integration and deployment of AI components.