JOB OPENING

Data Scientist

Subtract2

 Supporting Country:

India

 Location:

India

 Vacancy ID:

VAC3613

Job Description

Responsibilities
As an Applied/ Data scientist, you will contribute to the design, development, and improvement of AI/ML models and systems. You will be expected to:
- Work with applied scientists, data scientist, software engineers and product partners to design and deliver AI/ML solutions in production at scale.
- Design and develop AI/ML models, workflows and end-to-end pipelines for data preparation, training, deployment, monitoring, etc., and ensure the quality of architecture and design of our ML models and systems.
- Deliver customer-facing and/or underlying AI/ML solutions that empower our platform to provide the best experience for our customers.
Description

Our client's organization is responsible for building products for the automotive industry. We have already built 2 products (Estimating, Review) sold globally to insurers.
Our long-term vision is to build a platform ecosystem that we can leverage to effortlessly build new products and use cases. Our current mission is to create a reliable and safe €œvirtual€ motor appraiser/expert as a service, we can leverage to solve many use cases across the automotive industry. We are doing so, by building high-quality input capture mechanisms for our users, creating a state of-the-art damage assessment stack for auto damage, or delivering explainable and human-centric decision-making engines.
We are working hand-in-hand with engineering teams to turn our R&D prototypes into mission-critical systems.

Education and Experience
Skills and Behaviours
- Extensive knowledge and practical experience in several of the following areas: machine vision (classical methods and deep learning) and information retrieval. Natural language processing is a plus.
- Demonstrated experience in building scalable AI/ML models and systems and delivering end-to-end solutions in a production environment.
- Experience programming in Python, C++, or related languages

Preferred Qualifications:
- Publications at top-tier peer-reviewed conferences or journals or a proven track record of industry innovation in creating novel solutions and advancing the state of the art.
- Experience with machine learning libraries and deep learning frameworks (TensorFlow, PyTorch, etc.)
- Experience with end-to-end software development and life cycle of machine learning solutions.
- Excellent verbal and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organization.

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