Senior​/AI Engineer

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.

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.

• 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, Num Py, Scikit‑Learn, PyTorch, or Tensor Flow
• 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, Sage Maker 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)

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

• 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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