Overview

Design, develop, and deploy machine learning models and AI-driven solutions to optimize marketing campaigns, automate content workflows, and enhance customer personalization.

Key Responsibilities

• • Build, train, and deploy predictive models for audience segmentation, customer lifetime value (CLV), and lead scoring.
  • Implement generative AI tools and LLM integrations (API wrappers, prompt engineering, fine-tuning) for automated content generation and ad copy testing.
  • Develop recommendation engines and personalized experience algorithms for client websites and email marketing pipelines.
  • Collaborate with data analysts, SEO specialists, and marketing managers to translate business requirements into scalable technical AI architectures.
  • Monitor, maintain, and evaluate model performance to ensure reliability, reduce latency, and mitigate algorithmic bias.

Qualifications

• Degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
• Proven experience building and deploying machine learning or generative AI solutions in production environments.
• Strong proficiency in Python and frameworks such as PyTorch, TensorFlow, scikit-learn, and Hugging Face.
• Hands-on experience with RESTful APIs, cloud infrastructure (AWS, GCP, or Azure), and SQL/NoSQL databases.
• Familiarity with digital marketing concepts, web analytics, or ad platform APIs (Google Ads, Meta Graph API) is a strong plus.