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.

• 5–8 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