Senior AI Engineer

Summary

Join OREDATA, a Digital Transformation & IT Consulting firm, and work with experts on digital, operational, analytical, and data science challenges. Collaborate closely with teams, using agile methods and best practices. Analyze and interpret data, develop predictive models, and present findings to stakeholders. Contribute to data-driven solutions and lead data collection and organization. Drive innovation in data science and work on international projects. OREDATA offers remote work, flexible time off, learning opportunities, professional certifications, access to online training, and private health insurance.

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

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

Preferred Qualifications

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

Benefits

• Remote working and flexible time off
• 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.)
• Private Health Insurance
• Birthday Leave Policy