MLOps Engineer
We're Hiring: MLOps Engineer (Remote/Hybrid – Pune | Bangalore | Hyderabad)
Experience: 4–8 Years | Work Mode: Remote / Hybrid (1–2 days/week in office)
Location: Pune, Bangalore, Hyderabad
Are you passionate about building robust and scalable ML infrastructure? We’re seeking an experienced MLOps Engineer to join our dynamic engineering team and help us streamline and scale our machine learning operations.
What You’ll Do- Design, develop, and maintain scalable ML infrastructure and deployment pipelines
- Build and optimize workflows using Docker, CI/CD, Kubernetes, and Azure ML
- Automate model deployment processes for frameworks like TensorFlow and PyTorch
- Set up performance monitoring and alerting systems using Grafana, Prometheus, and Linux-based tools
- Collaborate with Data Scientists and Engineers to enable seamless production rollouts
- 6+ years of experience in MLOps and backend infrastructure engineering
- Hands-on expertise with Azure ML (or AWS / GCP) and GitLab CI/CD pipelines
- Proficient in Python, Linux, Docker, and Kubernetes
- Strong scripting and automation skills for infrastructure management
- Solid understanding of performance tuning, monitoring, and incident management best practices
- Experience deploying large-scale ML models in production environments
- Familiarity with model registry, versioning, and reproducibility techniques
- Excellent communication and team collaboration skills
If you're ready to build future-proof ML systems and thrive in a fast-paced, collaborative environment, we want to hear from you!
📩 Apply Now and let’s shape the future of AI together.