Axiom Software Solutions Limited is seeking a Python Developer to develop advanced machine learning models and AI-powered services to enhance their product offerings, focusing on time series models and Generative AI applications.
Requirements
- Minimum of 5 years of professional experience in Python development.
- Proficiency in developing and deploying machine learning models, especially using Python.
- Hands-on experience with Docker for containerizing applications and services.
- Strong understanding of Object-Oriented Programming (OOP) principles and best practices.
- Experience in developing, executing, and maintaining unit tests to ensure code quality.
- Basic knowledge of Generative AI (GenAI) applications and their potential use cases.
- Experience working with data pipelines, particularly using Databricks or similar platforms.
Responsibilities
- Design, develop, and implement machine learning models tailored to business needs, focusing on time series analysis and GenAI applications.
- Create and fine-tune machine learning models using Python to improve accuracy and performance.
- Utilize expertise in time series models to interpret user queries and understand intent effectively.
- Explore and evaluate potential applications of Generative AI to enhance user interactions and query understanding.
- Build, maintain, and optimize robust data pipelines leveraging Databricks to ensure efficient data flow and processing.
- Package and deploy machine learning services within Docker containers, ensuring scalability, security, and reliability.
- Write clean, maintainable, and well-documented code following Object-Oriented Programming principles.
Other
- Preferably based in Sunnyvale or Austin.
- Excellent collaboration skills to work effectively with data science, engineering, and product teams.
- Strong problem-solving skills and a proactive attitude towards learning and innovation.
- Participate in client management and project planning activities to ensure project milestones and client expectations are met.
- We celebrate diversity and are committed to creating an inclusive environment for all employees.
