About the Role
The role involves developing and deploying AI-driven automation tools to optimize business processes, requiring expertise in machine learning, scripting, and system integration.
Responsibilities
- Design and build AI-powered automation systems for enterprise workflows
- Develop machine learning models to enhance process decision-making
- Integrate automation tools with existing software platforms
- Write clean, maintainable code for scalable solutions
- Monitor system performance and refine algorithms for accuracy
- Collaborate with cross-functional teams to identify automation opportunities
- Troubleshoot and resolve technical issues in production environments
- Document architecture and implementation details
- Ensure compliance with data privacy and security standards
- Optimize automation pipelines for speed and reliability
- Stay current with advancements in AI and automation technologies
- Support deployment and configuration of AI models
- Evaluate third-party tools for integration potential
- Participate in code reviews and technical planning sessions
- Provide technical guidance for automation best practices
Nice to Have
- Master’s degree in a relevant technical discipline
- Experience with robotic process automation platforms
- Contributions to open-source AI or automation projects
- Familiarity with MLOps practices
- Certifications in cloud or AI technologies
Compensation
Competitive salary with performance bonuses
Work Arrangement
Fully remote position
Team
Collaborative team focused on scalable automation solutions
Technology Stack
- Primary tools include Python, TensorFlow, Apache Airflow, Docker, and Kubernetes
- Infrastructure hosted on Google Cloud Platform
Work Expectations
- Candidates must be available during overlapping business hours
- Regular participation in team syncs and planning meetings required
Not available
