Machine Learning Engineer

ePlane Company; Chennai District; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary

Dynamic team environment

Opportunities to work on cutting-edge,

Job summary

ePlane Company in Chennai, India is seeking a skilled ML Engineer to advance our LLM-based products for urban air mobility. You will design and optimize ML pipelines, implement retrieval and grounding techniques, and work closely with engineering to productize research prototypes.

Ideal candidates have 2+ years building ML systems, experience with PyTorch/TensorFlow, and hands-on experience with Docker/Kubernetes and vector databases.

Qualifications

• 2+ years building ML systems with focus on LLM-based products.
• Strong understanding of data structures and applying them to solve complex problems.
• Experience with PyTorch and TensorFlow.
• GenAI engineering including scaffolding, harnessing, and RAG pipelines.
• Development experience with retrieval pipelines (vector databases, chunking, re-ranking, grounding).
• Experience with containerization (Docker/Kubernetes).

Responsibilities

• Research, develop, and implement ML tools across LLMs, multimodal systems, and GenAI.
• Develop training pipelines, architecture, and prototyping for ML algorithms.
• Productize research prototypes for engineering use.
• Conduct experiments to benchmark techniques and evaluate model behavior.
• Develop evaluation methodology: test sets, metrics, and analysis.
• Deploy AI tools to engineering teams with pilots and documented adoption outcomes.

Skills

LLM-based ML systems

PyTorch

TensorFlow

RAG pipelines

Retrieval pipelines

Tools

Docker

Kubernetes

Elasticsearch

Vector databases

Job description

Chart the Course for the Future of Flight

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.

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

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