Data Scientist Iii

1 week ago

Chennai, Tamil Nadu, India ACV Auctions Full time

If you are looking for a career at a dynamic company with a people-first mindset and a deep culture of growth and autonomy, ACV is the right place for you Competitive compensation packages and learning and development opportunities, ACV has what you need to advance to the next level in your career.

We will continue to raise the bar every day by investing in our people and technology to help our customers succeed.

We hire people who share our passion, bring innovative ideas to the table, and enjoy a collaborative atmosphere.

Who we are:


ACV Auctions is opening its new India Development Center in Chennai, India, and we're looking for talented individuals to join our team.

As we expand our platform, we're offering a wide range of exciting opportunities across various roles. At ACV, we put people first and believe in the principles of trust and transparency. If you are looking for an opportunity to work with the best minds in the industry and solve unique business and technology problems? Look no further Join us in shaping the future of the automotive marketplace

At ACV we focus on the Health, Physical, Financial, Social and Emotional Wellness of our Teammates and to support this we offer industry leading benefits and wellness programs.

The Opportunity
ACV/Monk provides visual expertise through Computer Vision and Deep Learning algorithms. Today, the AI is able to detect and classify damage on any vehicle, with photos taken by a smartphone.

The company is already working with international leading players, such as our parent company ACV Auctions (USA), but also CAT logistics (Europe) Getaround (France), Autobiz (Europe) or Hgreg (Canada).

We are building a word-class API-based damage detection system.

We are looking for a great engineer with a data-centric approach to help us build a high performance Data Engineering infrastructure to support the efforts of our ML team.

Come and join us to build the future of vehicle damage detection.
Missions

  • As a R&D Data Scientist your missions will be:
  • Research and implement new models/algorithms (including image background removal)
  • Work with the backend and dataengineering team to help integration of the models in production
  • Provide feedback and direction on how the data should be gathered, labelled and cleaned
  • Keep up to speed with the SOTA in computer vision
Tech stack

  • Databases: SQL, Postgresql, Sqlalchemy, noSQL, ETL.
  • ML: Python, Pytorch, ClearML
  • Infrastructure: GCP, Kubernetes, CircleCI
  • Backend: Python, Flask, Rabbitmq, OpenAPI
  • Interface: JS, React Native, React, TP

Skills:

  • Advanced knowledge on mathematics, statistic and/or machine learning
  • Proficient experience in python
  • Knowledge in deep computer vision
  • Team player
  • Ability to summarize and present information
Background

  • Bachelor or Master degree in an engineering school.
  • 3+ years experience
  • You have already worked on machine learning projects / Computer Vision (+++)
  • You are interested in the startup environment, and you are autonomous and proactive
  • Experience with agile methodology #LI-CM2
Our Values
Trust & Transparency | People First | Positive Experiences | Calm Persistence | Never Settling


At ACV, we are committed to an inclusive culture in which every individual is welcomed and empowered to celebrate their true selves.

We achieve this by fostering a work environment of acceptance and understanding that is free from discrimination.

ACV is committed to being an equal opportunity employer regardless of sex, race, creed, color, religion, marital status, national origin, age, pregnancy, sexual orientation, gender, gender identity, gender expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic.

We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires reasonable accommodation, please let us know.

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