
Data Innovation Specialist
6 days ago
Key Responsibilities:
Artificial Intelligence Engineer: We design, build, and optimize advanced machine learning models for various business applications. The ideal candidate will be responsible for developing and deploying AI-driven solutions to solve complex business problems, drive data-based decision-making, and support product innovation.
Expert Data Analysis: You will clean, transform, and analyze large datasets; identify significant patterns. Familiarity with cloud platforms (AWS/GCP/Azure) and MLOps tools is highly desirable.
AI Pipeline Development: We develop end-to-end AI pipelines and integrate models into production systems using APIs or deployment frameworks. The preferred candidate has experience with Python, R, SQL, Machine Learning frameworks, Deep Learning, Data manipulation and visualization, Model deployment tools.
Collaboration and Communication: You will work closely with product managers, domain experts, and engineers to understand requirements and translate them into actionable solutions. Strong analytical and communication skills are required.
Performance Tracking and Reporting: Track model performance metrics (e.g., accuracy, precision, recall), and prepare technical documentation and reports. The ideal candidate will have experience in industry-specific AI applications (e.g., fintech, healthcare, retail).
Staying Up-to-Date: Stay current with the latest advancements in AI/ML techniques (e.g., transformers, reinforcement learning) and propose innovative applications. A Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or related field is required.
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