Knowdis Hiring MLOps Engineer
Job Title: MLOps Engineer
Experience: 0–3 Years
Location: New Delhi
Employment Type: Full-Time, Permanent
Industry: IT Services & Consulting
Department: Engineering – Software & QA
Role Category: Software Development
---
About the Role
Knowdis is seeking an MLOps Engineer to design, deploy, and manage scalable machine learning infrastructure. This role requires expertise in CI/CD pipelines, containerization, orchestration, and ML model deployment, with a strong focus on transitioning models from research to production.
---
Key Responsibilities
- Infrastructure Management: Build and maintain scalable, production-ready infrastructure for ML models.
- CI/CD Development: Design and maintain CI/CD pipelines for ML workflows.
- Model Deployment & Monitoring: Deploy ML models using TensorFlow Serving, PyTorch Serving, Triton Inference Server, or TensorRT, and monitor performance in production.
- Collaboration: Work with data scientists and engineers to move models from research to production seamlessly.
- Security & Compliance: Ensure ML systems follow security standards and regulatory compliance.
---
Skills & Experience
- Strong knowledge of Docker & Kubernetes for containerization and orchestration.
- Hands-on experience in CI/CD pipeline development.
- Expertise in ML model deployment tools – TensorFlow Serving, PyTorch Serving, Triton Inference Server, TensorRT.
- Experience with cloud platforms: AWS, Azure, GCP.
- Good problem-solving, communication, and collaboration skills.
---
Qualifications
- Bachelor’s/Master’s degree in Computer Science, Engineering, or related fields.
- 0–3 years of experience (freshers with strong MLOps knowledge may apply).
---
Additional Competencies
- AI technologies deployment
- Data engineering
- IT performance & scalability testing
- Security best practices
---
Selection Process
- Applications must be submitted via Jigya (only those will be considered).
- Shortlisted candidates may take an online assessment administered by Jigya.
- Final client interview for selected candidates.
---
Key Skills
MLOps | Docker | Kubernetes | CI/CD | TensorFlow Serving | PyTorch | Triton | TensorRT | AWS | Azure | GCP | Data Engineering | Deep Learning | Machine Learning | Scalability Testing | Security Practices
---
Why Join Knowdis?
- Work on cutting-edge AI and ML deployment projects.
- Collaborate with top data scientists and engineers.
- Opportunity to grow in the fast-evolving MLOps domain.
---
Hashtags
#Knowdis #MLOps #MachineLearning #AIJobs #Kubernetes #Docker #TensorFlow #PyTorch #CI_CD #CloudComputing #HiringNow #DelhiJobs
Ready to Apply?
Don't miss out on this opportunity. Apply now and take the next step in your career.
Apply Now