Staff Ai Engineer, Data Scientist

Summary

Join OREDATA, a Digital Transformation & IT Consulting firm, and work alongside experts on impactful digital, operational, analytical, and data science projects. You will lead customer engagement for GenAI, AI, ML, and Data Science projects, from pre-sales to delivery. This role requires strong presentation, collaboration, and problem-solving skills. OREDATA offers a dynamic work environment with remote work, flexible time off, and professional development opportunities. We value a growth mindset and a solution-oriented approach. Apply now and be part of our exciting journey!

Requirements

• Fluent English
• Good Consultative skills
• Bachelor's Degree in Computer Engineering/Science, Electrical & Electronics Engineering or equivalent practical experience
• 10 to 15 years of professional work experience as an AI Engineer / ML Engineer / Data Scientist or equivalent
• Growth mindset, willingness to learn about new technologies and approaches
• Can do attitude with solution oriented mindset

Responsibilities

• Lead the customer engagement technically from pre-sales to delivery about GenAI, AI, ML, Data Science projects
• Deliver Presentations, Run workshops and negotiate with diverse parties on customer meetings to drive win-win outcomes
• Present complex findings and data-driven recommendations to stakeholders in a clear and concise manner
• Collaborate with cross-functional teams to solve business challenges through data-driven solutions
• Drive innovation in AI, ML, Data Science methodologies and tools within the organisation

Preferred Qualifications

• Experience in Cloud Technologies especially in Google Cloud, AWS, Azure
• Experience in GenAI

Benefits

• 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
• Opportunity to support your English
• Private Health Insurance
• Birthday Leave Policy