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Machine Learning Engineer

Ubifly Technologies Pvt Ltd Tiruporur, Tamil Nadu, India

Jul 08
machine-learning Mid (2-5 yrs) Full-time India
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About the role

The role involves researching, developing, and deploying machine learning tools and generative AI systems to support engineering teams. You will be responsible for building training pipelines, benchmarking new techniques, and establishing systematic evaluation methodologies for model performance.

What they look for

Machine Learning LLMs Generative AI Pytorch Tensorflow RAG pipelines Vector databases Docker Kubernetes Reinforcement Learning Linear algebra Probability theory Distributed processing ElasticSearch Multimodal systems VLM systems

Requirements

Candidates must have at least 2 years of experience in developing ML systems with a focus on LLM-based products. Proficiency in Pytorch, Tensorflow, and containerization tools like Docker and Kubernetes is required.

Benefits

Competitive salary Benefits

Full 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

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