Senior AI and Python Developer

Job Description As a Senior AI & Python Developer at Enhancor, your role will involve leading the design and development of AI-powered features for our platform. You will be pivotal in building scalable machine learning systems and integrating AI into our core product offerings, impacting thousands of users directly. **Key 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. - Identify opportunities for automation and streamline workflows to improve process efficiency in collaboration with cross-functional teams. - Architect, write, and maintain clean, efficient Python code for AI pipelines and microservices. - Handle large datasets including data preprocessing, model training, evaluation, and optimization. - Implement 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 updated with the latest AI research and industry trends to evaluate their relevance for product innovation. - Continuously evaluate and optimize existing processes to enhance performance, reduce costs, and improve scalability. **Qualifications & Skills:** - Bachelor's 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. As a Senior AI & Python Developer at Enhancor, your role will involve leading the design and development of AI-powered features for our platform. You will be pivotal in building scalable machine learning systems and integrating AI into our core product offerings, impacting thousands of users directly. **Key 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. - Identify opportunities for automation and streamline workflows to improve process efficiency in collaboration with cross-functional teams. - Architect, write, and maintain clean, efficient Python code for AI pipelines and microservices. - Handle large datasets including data preprocessing, model training, evaluation, and optimization. - Implement 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 updated with the latest AI research and industry trends to evaluate their relevance for product innovation. - Continuously evaluate and optimize existing processes to enhance performance, reduce costs, and improve scalability. **Qualifications & Skills:** - Bachelor's 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.