Submitting more applications increases your chances of landing a job.

Here’s how busy the average job seeker was last month:

Opportunities viewed

Applications submitted

Keep exploring and applying to maximize your chances!

Looking for employers with a proven track record of hiring women?

Click here to explore opportunities now!
We Value Your Feedback

You are invited to participate in a survey designed to help researchers understand how best to match workers to the types of jobs they are searching for

Would You Be Likely to Participate?

If selected, we will contact you via email with further instructions and details about your participation.

You will receive a $7 payout for answering the survey.


User unblocked successfully
https://bayt.page.link/chxR3pazVrz9JQRx9
Back to the job results

Senior/Staff AI Engineer

Yesterday 2026/09/05
General Engineering Consultancy
Create a job alert for similar positions
Job alert turned off. You won’t receive updates for this search anymore.

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, 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.


This job post has been translated by AI and may contain minor differences or errors.

You’ve reached the maximum limit of 15 job alerts. To create a new alert, please delete an existing one first.
Job alert created for this search. You’ll receive updates when new jobs match.
Are you sure you want to unapply?

You'll no longer be considered for this role and your application will be removed from the employer's inbox.