Machine Learning Engineer
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Job Summary
About The ePlane Company
The ePlane Company is at the forefront of Indias urban air mobility revolution. Incubated at IIT Madras we are a deep-tech startup dedicated to designing and building the worlds 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. Were a passionate team of engineers designers and visionaries working on cutting-edge technology and were 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 workforces 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
Required Skills:
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)
Required Education:
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
