Senior/Staff AI Engineer
Summary
Designs, deploys, and optimizes AI/ML solutions for clients, collaborating with cross-functional teams to solve business challenges using data-driven approaches.
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
Requirements:
- Bachelor’s degree in Computer Engineering, Computer Science, Electrical & Electronics Engineering, or a related field
- Minimum 5 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)
- Eligible to work in Turkey
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
Benefits
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
As published by workable
First name, Last name, Email, Phone, Address, Photo, Education, Experience, Resume, Cover letter
- How many years of hands-on experience do you have in AI Engineering, Data Science, Machine Learning Engineering, or similar roles?
- How many years of hands-on experience do you have working in AI Engineering, Data Science, Machine Learning Engineering, or similar roles?
- Can you share an example of a production-grade AI or machine learning system you have built and deployed? What was your role and what challenges did you overcome? written answer
- Can you share an example of a production-grade AI or machine learning system you have built and deployed at scale? What challenges did you face and how did you address them? written answer
- Could you describe your experience with data engineering and feature engineering, especially working with data pipelines and large-scale datasets? written answer
- Could you describe your experience delivering AI or Data Science solutions in different industries? Which sectors have you worked with, and what types of projects did you lead or contribute to? written answer
- What is your proficiency level in English? choose one
- What is your proficiency level in English? choose one