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ML Engineer

Yuja , Ahmedabad · meiro.in · Full-time employment · Programming

About Yuja

At Yuja, we are developing key components of a highly scalable and modular platform for on demand shared mobility and last-mile connectivity. Our cross-disciplinary development process spans across the various dimensions of the product, offering a unique opportunity to work on deep tech solutions that sometimes need to be built from scratch. Our stack comes alive with a combination of novel IoT devices for enabling smart shared services, intensive ML and data workflows, carefully crafted user experiences, and a singular focus on accessibility and ease-of use. We emphasize original thinking, experimentation, systems thinking, and measurable product development. Yuja (Meiro Mobility Private Limited) is a DIPP-recognized startup supported NSRCEL IIM-B, IIEC IIT-GN, PDEU IIC, and i-Hub Gujarat.

About the Role

  • Understand product use cases and develop workflows for ML-driven features
  • Develop and maintain dynamic ML models
  • Develop ML-oriented testing procedures
  • Algorithm research and development
  • Plan data collection programs, including data collection mechanisms, for custom datasets
  • Perform model testing and system feature testing
  • Write, test, and deploy real-time algorithms and heuristics to support server-side or client-side functionality
  • Write and deploy ML models on edge devices
  • Create and maintain one or more ML tools, services, products
  • Integrate ML workflows with other system components
  • Build reusable code and libraries for future use
  • Participate in DevOps and MLOps workflows
  • Manage internal or external resources

We work with applications of ML/AI in multiple domains and tasks, including but not limited to time-series problems, agent-based modeling, image processing, contextual text generation, and recommendation.

NOTE: Please highlight your core area(s) of experience in the field of ML/AI in your application submission and/or resume.

Basic Qualifications and Skills

  • B.E. / B.Tech. preferably in fields related to Computer Science with experience in machine learning, image and signal processing, or statistics preferred with significant prior experience in the aforementioned fields
  • Strong knowledge of probability theory, statistics, calculus, vector algebra, and machine learning algorithms
  • Strong knowledge of neural network-based ML algorithms, including for time-series data, image data, sequential data, and semantic data
  • Previously worked on and/or managed production-grade ML projects
  • Strong skills in data structures and algorithms (DSA)
  • Strong skills in decomposing complex problems and designing performant systems to solve them
  • Strong proficiency in Python (including OOP, asynchronous, etc.) and strong understanding of Python workings
  • Strong knowledge of ML pipeline, model development, feature engineering, model testing, etc.
  • Experience with one or more of the following: AWS/GCP ML stack, industry-standard ML frameworks and libraries, etc.
  • Experience with relational and NoSQL databases
  • Excellent written and verbal communication skills, including the ability to write detailed technical documents

Preferred Qualifications and Skills

  • Exposure to one or more of the following: GIS (QGIS), graph theory (Networkx), agent-based modelling (Mesa, Mesa-Geo), optimization theory (MIP, convex, etc.)
  • Experience with MLOps tools (like TFx, TensorFlow Serving, Kubeflow, etc.) and methodologies for continuous integration and continuous delivery of ML models
  • Experience with location, mapping, and spatial data analysis
  • Experience with containerization and container management workflows
  • Experience with data visualization

Experience: 2+ years

Location: Ahmedabad, Gujarat (on-site)

Education: B.E./B.Tech in Computer Science, Statistics and Computing, or Machine Learning specialization required

Experience: 2+ years required

Pay range: ₹400,000.00 - ₹650,000.00 per year

Application Deadline: March 07, 2025

Expected Start Date: March 17, 2025

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