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About Vimaan

We are Vimaan Robotics, an early-stage Silicon Valley start-up. We are enabling a paradigm shift in the way robots; cloud and the SaaS platform are leveraged in commercial applications. Our proprietary robotics solution enables full autonomy and scalability. Our IaaS/SaaS model, generates rich, actionable data for our commercial and enterprise customers. Our target markets extend across a vast swath of commercial applications—with an initial focus on warehouse inventory management. Our founders have a track record of founding multiple companies. We are still in stealth, but we’re funded by blue chip investors, and have a dynamite team in both US and India. This is a great opportunity to be an early member of the Vimaan to build, deploy and scale the platform.

Team Charter

The team in India comes with multi-disciplinary skillset, including but not limited to the following areas:

  • Develop models and algorithms using Deep Learning and Computer Vision on the captured data to provide meaningful analysis to our customer
  • Some of the projects include – object detection, OCR, barcode scanning, stereovision, SLAM, 3D-reconstruction, action recognition etc.
  • Develop integrated embedded systems for our drones – including embedded system platform development, camera and sensor
    integration, flight controller and motor control system development, etc.
  • Architect and develop full stack software to interface between our solution and customer database and access – including database development, API development, UI/UX, storage, security and processing for data acquired by the drone
  • Integration and testing of various off the shelf sensors and other modules with drone and related software
  • Design algorithms related to autonomy and flight controls.

Responsibilities

As a Machine Learning Ops (MLOps) engineer, you will be responsible for building and maintaining the next generation of Vimaan’s ML Platform and Infrastructure. MLOps will have a major contribution in making CV & ML offerings scalable across the company products. We are building all these data & model pipelines to scale Vimaan operations and MLOps Engineer will play a key role in enabling that. You will lead initiatives geared towards making the Computer Vision Engineers at Vimaan more productive. You will setup the infrastructure that powers the ML teams, thus simplifying the development and deployment cycles of ML models. You will help establish best practices for the ML pipeline and partner with other infrastructure ops teams to help champion them across the company.

  • Build and maintain data pipelines – data ingestion, filtering, generating pre-populated annotations, etc
  • Build and maintain model pipelines – model monitoring, automated triggering of model (re)training, auto-deployment of models to production servers and edge devices
  • Own the cloud stack which comprises all ML resources
  • Establish standards and practices around MLOps, including governance, compliance, and data security
  • Collaborate on managing ML infrastructure costs

Qualifications

  • Deep quantitative/programming background with degree (Bachelors, Masters or Ph.D.) in a highly analytical discipline, like Statistics, Electrical, Electronics, Computer Science, Mathematics, Operations Research, etc.
  • A minimum of 3 years of experience in managing machine learning projects end-to-end focused on MLOps.
  • Experience with building RESTful APIs for monitoring build & production systems using automated monitoring of models and corresponding alarm tools
  • Experience with data versioning tools such as Data Version Control (DVC).
  • Build and maintain data pipelines by using tools like Dagster, Airflow etc.
  • Experience with containerizing and deploying ML models
  • Hands-on experience with autoML tools, experiment tracking, model management, version tracking & model training (MLflow, W&B, Neptune etc), model hyperparameter optimization, model evaluation, and visualisation (Tensorboard).
  • Sound knowledge and experience with atleast one DL frameworks such as PyTorch, TensorFlow, Keras
  • Experience with container technologies (Docker, Kubernetes etc).
  • Experience with cloud services
  • Working knowledge of SQL based databases.
  • Hands on experience with Python scientific computing stack such as numpy, scipy, scikit-learn
  • Familiarity with Linux and git
  • Detail oriented design, code debugging and problem-solving skills
  • Effective communication skills: discussing with peers and driving logic driven conclusions
  • Effective communication skills: discussing with peers and driving logic driven conclusions

How to stand out

  • Prior experience in deploying ML & DL solutions as services
  • Experience with multiple cloud services
  • Ability to collaborate effectively across functions in a fast-paced environment
  • Experience with technical documentation and presentation for effective dissemination of work.
  • Engineering experience in distributed systems and data infrastructure

Employment type

  • Full-time
  • 30 days of paid leave annually to help nurture work-life symbiosis
  • Stock options
  • Healthcare for you and your family
  • Meal vouchers for non-remote work setting
  • Relocation assistance

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About vimaan

Headquartered in Silicon Valley, with team members around the world, Vimaan is comprised of computer vision and hardware technologists and also warehousing domain experts with a rich and successful history in successful technology startups. Vimaan’s primary mission is to deliver computer vision and machine learning solutions to solve long-standing inventory visibility, accuracy and quality challenges experienced in the supply chain.

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