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.
This role builds Machine Learning tools to enable reduction of the engineering workforce’s burden by developing internal ML-based tools across the organisation. This person will develop, research, and deploy ML algorithms across different engineering disciplines
Research, Develop, and implement machine learning based tools across LLMs, Multimodal systems, Generative AI systems
Develop training pipelines, architecture, and prototyping for ML algorithms
Work on productising research prototypes
Conduct experiments to benchmark new techniques and evaluate model behavior
Develop systematic evaluation methodology: test sets, accuracy metrics, citation quality scoring, false positive/negative analysis
Deploy AI tools to engineering teams with structured pilots, baseline measurement, and documented adoption outcomes
RequirementsRequired Qualifications
2+ years in developing ML systems with focus on LLM-based products
Proven understanding of fundamental data structures and the ability to apply them to solve complex problems.
Experience with Pytorch, Tensorflow
GenAI engineering including concepts relating to scaffolding, harnessing, and RAG pipelines
Development experience with retrieval pipeline skills (vector databases, chunking strategies, re-ranking, citation grounding)
Experience with Containerization (Docker/Kubernetes)
Understanding and deployment of Reinforcement Learning based tools
Understanding of mathematics, particularly linear algebra and probability theory
Experience with distributed processing frameworks and ElasticSearch
Prior knowledge of multimodal systems and VLM systems
Experimentation and deployment of Local GenAI model deployment using tools like Olama
Experience building multi-step agentic workflows
BenefitsWhat We Offer
The opportunity to work on a groundbreaking product that will redefine urban transportation.
A dynamic, fast-paced, and collaborative work environment with a brilliant and passionate team.
Competitive salary and benefits.
A culture of innovation where your ideas can directly impact the future of flight
Skills Required
- 2+ years of experience developing machine learning systems, focused on LLM-based products
- Understanding of fundamental data structures and ability to apply them to solve complex problems
- Experience with PyTorch and TensorFlow
- GenAI engineering experience, including scaffolding, harnessing, and RAG pipelines
- Retrieval pipeline experience with vector databases, chunking strategies, re-ranking, and citation grounding
- Experience with containerization using Docker or Kubernetes
- Understanding and deployment of reinforcement learning-based tools
- Understanding of linear algebra and probability theory
- Experience with distributed processing frameworks and Elasticsearch
- Prior knowledge of multimodal and VLM systems
- Experience deploying local GenAI models using tools such as Ollama
- Experience building multi-step agentic workflows
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.
