Senior AI analyst

Job Title: Senior AI Analyst

Location: GA

Department: Data Science / Artificial Intelligence

Reports To: AI/ML Lead or Head of Data Science

Position Overview

We are looking for a highly skilled Senior AI Analyst to lead the analysis, design, and implementation of AI-driven solutions that enhance business operations and decision-making. The ideal candidate will possess strong analytical expertise, experience with machine learning models, and a deep understanding of data interpretation and automation strategies.

Key Responsibilities

* Analyze complex business problems and identify opportunities to apply AI and machine learning techniques.

* Design, develop, and deploy predictive models, natural language processing (NLP), and computer vision solutions.

* Collaborate with data engineers, data scientists, and business stakeholders to translate data insights into actionable strategies.

* Evaluate the performance of AI systems, ensuring accuracy, scalability, and ethical compliance.

* Build and maintain data pipelines to support AI model training and inference.

* Utilize statistical methods and advanced analytics to interpret trends, patterns, and correlations within large datasets.

* Present insights and recommendations to senior leadership using visualization tools and storytelling techniques.

* Stay current with emerging AI tools, frameworks, and technologies to continuously improve organizational AI capabilities.

* Mentor junior analysts and contribute to the development of AI best practices across teams.

Required Qualifications

* Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, or related field.

* 58 years of experience in AI, data analytics, or machine learning roles.

* Strong proficiency in Python, R, or similar analytical languages.

* Experience with AI frameworks such as TensorFlow, PyTorch, or Scikit-learn.

* Solid understanding of data visualization tools (e.g., Power BI, Tableau, or Matplotlib).

* Proven experience in handling large-scale datasets and data pipelines.

* Strong communication skills and ability to translate technical results into business insights.

Preferred Qualifications

* Experience with cloud-based AI platforms (AWS SageMaker, Google Vertex AI, Azure ML).

* Knowledge of NLP, generative AI, or deep learning architectures.

* Familiarity with MLOps tools for model deployment and lifecycle management.

* Certification in AI or Data Analytics (e.g., Google Cloud AI Engineer, Microsoft AI Fundamentals).

Key Competencies

* Analytical & Critical Thinking

* Problem-Solving & Innovation

* Collaboration & Stakeholder Management

* Business Acumen

* Continuous Learning