Senior AI & Python Developer

Job Description

Role & responsibilities Flexibility to work in US shift is essential. Design and implement scalable automation frameworks and tools to streamline business and engineering processes. Lead the development and deployment of machine learning models and AI services tailored for our SaaS platform. Work closely with cross-functional teams to identify opportunities for automation and streamline workflows to improve process efficiency. Architect, write, and maintain clean, efficient Python code for AI pipelines and microservices. Work with large datasets: data preprocessing, model training, evaluation, and optimization. Drive the implementation of AI/ML features such as predictive analytics, intelligent recommendations, and automated decision-making. Ensure robust monitoring, testing, and CI/CD practices for AI models in production. Guide and mentor junior team members on AI best practices and coding standards. Stay current with the latest AI research and industry trends and evaluate their relevance for product innovation. Continuously evaluate and optimize existing processes to improve performance, reduce costs, and enhance scalability. Preferred candidate profile Bachelors or master’s degree in computer science, Data Science, Artificial Intelligence, or a related field. 5+ years of professional experience in Python development. 3+ years of hands-on experience in machine learning, deep learning, or applied AI. Preferred experience supporting in the real estate and property management industry. Proven track record of deploying ML models in production environments, preferably for SaaS applications. Familiarity with ML Ops, model lifecycle management, and data versioning tools (e.g., MLflow, DVC). Excellent problem-solving skills and the ability to work independently in a dynamic team environment. Experience with generative AI (e.g., GPT, LLM fine-tuning or prompt engineering). Background in NLP, computer vision, or recommender systems. Experience working in Agile environments with tools like Jira, Confluence, or Notion.