Senior/Staff AI Engineer

Reposted 4 Days Ago
Be an Early Applicant
İstanbul, Fatih, İstanbul, TUR
In-Office
Senior level
Cloud • Database • Analytics
The Role
Design, deploy, and optimize production-grade AI/ML solutions to solve complex business problems using data-driven approaches, collaborating with teams.
Summary Generated by Built In

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, deploying, and optimizing production-grade AI/ML solutions while collaborating with cross-functional teams to solve complex business problems using data-driven approaches.

Requirements:

  • Bachelor’s degree in Computer Engineering, Computer Science, Electrical & Electronics Engineering, or a related field
  • Minimum 6 years of professional experience in AI Engineering, Data Science, Machine Learning Engineering, or related roles
  • Proven experience building and deploying production-grade AI/ML systems at scale
  • Strong hands-on experience with Python, Pandas, NumPy, Scikit-Learn, PyTorch, or TensorFlow
  • Experience with MLOps and model lifecycle management (deployment, monitoring, scalability, reliability)
  • Experience with Docker, Kubernetes, MLflow, FastAPI, or similar deployment technologies
  • Experience with cloud platforms and AI/ML services (GCP, AWS, Azure, Vertex AI, SageMaker or similar)
  • Strong understanding of software engineering principles, scalable architectures, and clean code practices
  • Experience with data engineering and feature engineering processes (data pipelines, large-scale datasets)
  • Ability to solve complex business problems using AI/ML techniques (problem framing, analytical thinking, data-driven decision making)
  • Strong communication skills with the ability to explain technical concepts to business stakeholders
  • Advanced level of English (technical communication and documentation)

Strong Experience (High Impact)

  • Experience with LLMs, prompt engineering, RAG systems, LangChain, LlamaIndex, or similar frameworks
  • Experience delivering AI/Data Science solutions across multiple industries (Finance, Retail, Telecom, Ecommerce)
  • Experience working in customer-facing or consultative environments

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.

Skills Required

  • Bachelor's degree in Computer Engineering, Computer Science, Electrical & Electronics Engineering, or a related field
  • Minimum 6 years of professional experience in AI Engineering, Data Science, Machine Learning Engineering, or related roles
  • Proven experience building and deploying production-grade AI/ML systems at scale
  • Strong hands-on experience with Python, Pandas, NumPy, Scikit-Learn, PyTorch, or TensorFlow
  • Experience with MLOps and model lifecycle management
  • Experience with Docker, Kubernetes, MLflow, FastAPI, or similar deployment technologies
  • Experience with cloud platforms and AI/ML services (GCP, AWS, Azure, Vertex AI, SageMaker or similar)
  • Strong understanding of software engineering principles, scalable architectures, and clean code practices
  • Experience with data engineering and feature engineering processes
  • Ability to solve complex business problems using AI/ML techniques
  • Strong communication skills to explain technical concepts to business stakeholders
  • Advanced level of English for technical communication and documentation
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The Company
HQ: İstanbul, Esenler
110 Employees
Year Founded: 2013

What We Do

Oredata is your trusted partner in next-generation analytics and data solutions. As a Google Cloud Managed Service Provider (MSP) Partner in the MENAT Region, Oredata is recognized for its excellence in delivering superior analytics solutions. Specializing in uncovering business opportunities from the explosion of structured transactional data, Oredata provides comprehensive services including data integration, transformation, and visualization, enabling customers to perform interactive business analysis on big data and drive strategic growth and success. Credentials Google Cloud Managed Service Provider (MSP) Partner: As a proud Google Cloud MSP Partner, Oredata is recognized for its excellence in providing superior analytics solutions. Award-Winning Excellence: Honored as Google Cloud's 'Partner of the Year' for the second consecutive year in the MENAT region, Oredata continues to lead in transforming data into meaningful insights. Services - Cloud Managed Services: Ensure optimal performance and reliability of cloud infrastructure with Oredata's comprehensive managed services. - Cloud Migration Services: Seamlessly transition to the cloud with minimal disruption and maximum efficiency through Oredata's expertise. - Data & Analytics Services: Unlock valuable insights with Oredata's advanced data analytics solutions. - Infrastructure Services: Build and maintain a robust, scalable infrastructure tailored to business needs with Oredata's support. - Application Development Services: Develop and revamp applications to leverage the full potential of cloud-native solutions with Oredata. - Google Workspace: Enhance collaboration and productivity with Oredata's expert Google Workspace solutions. -Outsource Services: Access specialized skills and expertise to complement in-house capabilities through Oredata's outsourcing services. Discover how Oredata can elevate your business by visiting oredata.com. Let's transform your data into your most valuable resource.

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