Design, develop, and deploy AI/ML models for product personalization, recommendation systems, and search algorithms;
Collaborate with product and engineering teams to integrate AI solutions into existing products and workflows;
Lead the architecture and development of AI-driven features, from ideation to production;
Identify and prototype new AI/ML opportunities to enhance user engagement, search accuracy, and overall product experience;
Establish best practices for AI model development, testing, and deployment;
Work closely with data engineering teams to ensure data pipelines and infrastructure are optimized for AI projects;
Stay current with emerging AI trends and technologies to drive innovation within the organization.
Experience: 3+ years of experience in AI/ML engineering roles, with hands-on experience in building and deploying AI models in production environments;
Proficiency in programming languages such as Python, Java, or C#;
Strong understanding of machine learning algorithms and deep learning frameworks (e.g., TensorFlow, PyTorch);
Experience with AI for personalization, recommendation systems, search algorithms, or natural language processing (NLP);
Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and containerization (e.g., Docker, Kubernetes);
Experience with data science workflows, including data collection, cleaning, and transformation;
Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
Strong communication skills;
Excellent presentation skills;
Attention to details.
GROWE TOGETHER: Our team is our main asset. We work together and support each other to achieve our common goals;
DRIVE RESULT OVER PROCESS: We set ambitious, clear, measurable goals in line with our strategy and driving Growe to success;
BE READY FOR CHANGE: We see challenges as opportunities to grow and evolve. We adapt today to win tomorrow.