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Sr. ML Engineer

Meiro Mobility , Ahmedabad · · Full-time employment · Programming

About Meiro Mobility

Meiro Mobility is a young, energetic startup developing low-cost shared mobility services. We identified a critical gap in urban mobility, specifically in unorganized paratransit. We are fulfilling this gap by building a tech stack for paratransit of the future. We are solving longstanding issues faced by drivers and commuters by way of core technologies developed in-house for fleet management, IoT, and accessibility, and demand management. We wish to see reliable, standardized paratransit services in every Indian city. And eventually across the globe.

At Meiro, we are developing key components of a highly scalable and modular platform for shared mobility. 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.

Meiro Mobility is a DIPP-recognized startup incubated at the Innovation and Incubation Centre (NIDHI-TBI), Gandhinagar, and pre-incubated at IITGN Innovation and Entrepreneurship Centre, Indian Institute of Technology, Gandhinagar (IITGN). It is recognized under NIDHI-PRAYAS (Government of India) and SSIP (Government of Gujarat). It was recently part of the UNDP-AIM Youth Co:Lab national cohort, a past participant in the InnoCity program at CIIE.CO, and a podium finisher at the Vibrant Gujarat Startup Summit awards 2020 in the Smart and Shared Mobility category. Meiro Mobility is our founder’s second startup, having had previous extensive experience the passenger EV platform development and transportation systems domain.

While our recruitment process is fully merit-based and quota-free, we consistently attempt to ensure equitable access of internship or job opportunities. We try to ensure that the application pool is uniformly comprised in this regard. We do not differentiate or prioritize on the basis of sex, gender identity, sexual orientation, race, colour, religion, national origin, disability, age, or any other characteristic protected by law. We aim to maintain an equitable workplace for all.

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 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 data processing, image processing, contextual text generation, scene recognition, pose estimation, and recommendation.

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., with significant prior experience in the aforementioned fields
  • M.E. / M.S. / M. Tech. / Ph.D., preferably in fields related to Computer Science with experience in machine learning, image and signal processing, or statistics preferred
  • 3+ years relevant engineering experience
  • Strong knowledge of ML pipeline, model development, feature engineering, model testing, etc.
  • Strong experience with one or more of the following: AWS/GCP ML stack, industry-standard ML frameworks and libraries, Android NDK, etc.
  • Strong proficiency in Python, JavaScript, etc.
  • Experience with relational databases and NoSQL databases
  • 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
  • Strong skills in data structures and algorithms (DSA)
  • Strong skills in decomposing complex problems, and designing performant systems to solve them
  • Excellent written and verbal communication skills, including the ability to write detailed technical documents

Preferred Qualifications and Skills

  • Previous production-grade ML projects
  • Experience working with embedded systems, edge devices (sensors, boards, GPUs), or prototyping boards
  • 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: 3 - 6 years

Remuneration: ₹ 6 - 10 lakhs per annum

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