Machine Learning Engineer
Software Engineering
Chennai, Tamil Nadu, India
Job Description
About The ePlane Company
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.
Chart the Course for the Future of 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
Roles and Responsibilities
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
Requirements
Required 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)
Preferred Qualifications
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
Benefits
What 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
