The ePlane Company is at the forefront of India's urban air mobility revolution. Incubated at IIT Madras, we are a deep-tech startup dedicated to designing and building the world's most compact electric flying taxi. Our mission is to make door-to-door flying a reality, drastically reducing commute times and decongesting our cities for a cleaner, greener future. We're a passionate team of engineers, designers, and visionaries working on cutting-edge technology, and we're looking for brilliant minds to help us take flight.
We are looking for a person with a deep understanding of the tooling and lifecycle of ML based systems algorithms including taking them from prototype to production. The selected candidate will own the integrated DevOps and MLOps infrastructure. You will bridge the gap between software engineering, IT infrastructure, and AI-driven model deployment. This also involves work that makes our entire CI/CD pipeline from general software services to safety-critical AI/ML models robust, scalable, compliant, and qualified for regulated engineering processes. This includes instrumenting and hardening live capabilities, and the strategic work of designing a path toward on-premise deployment and formal AI qualification.
Build and maintain data pipelines for model training, validation, and continuous retraining
Instrument, monitor, and manage the operational health of the AI/ML capabilities in production including performance, drift, latency, and data quality.
Build CI/CD pipelines, model versioning, rollback procedures, and A/B testing infrastructure
Manage the container orchestration layer and server-side configurations to ensure high availability for internal tools and product operations suites
Lead the feasibility assessment and the implementation of on-premise AI deployment
Own the qualification and governance documentation process across data provenance, model architecture, explainability, and human oversight procedures, robustness testing with applicable regulatory frameworks
Establish and operate a recurring governance review process across all deployed capabilities
RequirementsRequired Qualifications
4+ years MLOps or ML infrastructure engineering with production systems experience
CI/CD design and implementation for ML systems (MLflow, DVC, Weights & Biases, or equivalent)
Model monitoring: drift detection, performance degradation alerting, data quality checks
Deep expertise in Kubernetes cluster management, service mesh, and cloud/on-prem hybrid infrastructure
Proven experience in setting up CI/CD pipelines for both non-ML software and ML models
Containerised ML deployment (Docker, Kubernetes)
Experience deploying ML systems in Safety-critical or regulated domain background where AI output quality must be explainable
Familiarity with change management processes in regulatory environments
RAG system infrastructure experience at scale
Cloud compute job queue management for computationally intensive workloads
On-premise ML/AI deployment experience: quantisation, inference optimisation, GPU cluster management
Skills Required
- 4+ years of MLOps or ML infrastructure engineering experience with production systems
- Experience designing and implementing CI/CD for ML systems using MLflow, DVC, Weights & Biases, or equivalent
- Experience with model monitoring, drift detection, performance degradation alerting, and data quality checks
- Deep expertise in Kubernetes cluster management, service mesh, and cloud/on-premise hybrid infrastructure
- Experience setting up CI/CD pipelines for both non-ML software and ML models
- Experience with containerized ML deployment using Docker and Kubernetes
- Experience deploying ML systems in safety-critical or regulated domains
- Familiarity with change management processes in regulatory environments
- Experience with RAG system infrastructure at scale
- Experience managing cloud compute job queues for computationally intensive workloads
- Experience with on-premise ML/AI deployment, quantization, inference optimization, and GPU cluster management
What We Do
We're developing India’s 1st flying electric taxi for up to 10x faster intra-city commute and cargo transport. Incubated at IIT Madras, Chennai since 2019, The ePlane Company was founded by Professor Satya Chakravarthy with a vision to make flying ubiquitous. As an Urban Air Mobility (UAM) startup, we aim to alleviate on-road traffic congestion in cities worldwide by offering safe, sustainable and affordable flying experiences through our flagship product, The ePlane e200.
