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.

Apply and be part of our exciting journey!

Responsibilities:

• Analyse and interpret data using advanced statistical techniques and machine learning algorithms.
• Develop and implement predictive models to identify patterns, trends and actionable insights, recommendation engines.
• Present complex findings and data-driven results to stakeholders in a clear and concise manner, communicate effectively with diverse lines of business.
• Collaborate with cross-functional teams to solve business challenges through data-driven solutions.
• Lead the collection, cleaning and organisation of large, complex datasets from multiple sources, converting them to features.
• Drive innovation in data science methodologies and tools within the organisation.

Requirements

• Bachelor's Degree in Computer Engineering/Science, Electrical & Electronics Engineering or equivalent practical experience.
• 4 to 8 years of professional work experience as an AI Engineer / Data Scientist / ML Engineer or equivalent
• Willingness to learn more about new languages and frameworks
• Creative and innovative problem-solving skills
• Good team player, result oriented attitude and analytical mind
• Fluent English
• No military obligation for male candidates for at least 2 years

Preferred Qualifications

• Experience in Cloud Technologies especially in GCP or AWS or Azure
• Experience in Python
• Experience on customer facing roles or consultative experience

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