Senior AI and Python Developer

2 days ago

Pune, Maharashtra, India Enhancor Services Full time US$ 1,20,000 - US$ 2,00,000 per year

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.

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