About Knowdis.ai
Knowdis.ai is an AI-first company specializing in e-commerce applications. We harness the power of Machine Learning and AI to enhance e-commerce operations, optimize customer experiences, and drive growth. If you are passionate about AI-driven product innovation, this is the perfect opportunity to make a meaningful impact.
Key Responsibilities
- Infrastructure Management: Build scalable and robust infrastructure for Machine Learning models, ensuring seamless production integration
- CI/CD Expertise: Develop and maintain CI/CD pipelines with a focus on ML model deployment
- Model Deployment and Monitoring: Deploy ML models using TensorFlow Serving, Pytorch Serving, Triton Inference Server, or TensorRT and monitor their performance in production
- Collaboration: Work closely with data scientists and software engineers to transition ML models from research to production
- Security and Compliance: Uphold security protocols and ensure regulatory compliance in ML systems
Skills and Experience Required
- Proficiency in Docker and Kubernetes for containerization and orchestration
- Experience with CI/CD pipeline development and maintenance
- Experience in deploying ML models using TensorFlow Serving, Pytorch Serving, Triton Inference Server, and TensorRT
- Experience with cloud platforms like AWS, Azure, and GCP
- Strong problem-solving, communication, and teamwork skills
Qualifications
- Bachelor's/Master's degree in Computer Science, Engineering, or a related field
- 4-6 years of experience in ML project management, with a recent focus on MLOps
Additional Competencies
- AI Technologies Deployment, Data Engineering, IT Performance, Scalability Testing, and Security Practices.
SELECTION PROCESS
- Interested Candidates are mandatorily required to apply through this listing on Jigya. Only applications received through Jigya will be evaluated further
- Shortlisted candidates may be required to appear in an Online Assessment administered by Jigya on behalf of the Client
- Candidates selected after the screening test will be interviewed by the Client
