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
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