3 years

2 - 8 Lacs

Posted:15 hours ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

Job Description

Skills

Skill

PYTHON
ML FRAMEWORKS, PYTORCH
DEEP LEARNING
COMPUTER VISION
MACHINE LEARNING

KUBERNETES

CI

CD

GRAPHQL

DJANGO

FLASK

GIT

Minimum Qualification

B.TECH/B.E

BACHELOR'S DEGREE

Job Description

Role

Data Scientist

Location

  • Chennai / Bangalore
  • Flexibility to travel for business trips

Experience:

  • 3+ Years of experience

What awaits you/ Job Profile?

Our vision is to provide an overarching platform for AI-based quality assurance (AIQX) in the global production network to accelerate the end-to-end quality control cycle in vehicle manufacturing. We develop these in an international feature team based on state-of-the-art technologies in close cooperation with our users in the plants.

We are looking for a Data Scientist to join our BMW teams of rock-solid specialists developing our AI-based quality assurance solution for BMW’s plants.

In this position, you will take a lead role in the fourth industrial revolution (Industry 4.0) and work with latest technologies and trends, which mainly include topics like Machine Learning, Cloud and Edge computing.

Our services mainly run on the Microsoft Azure Cloud Platform. If you are a passionate developer, willing to take a lead role, sharing knowledge and giving guidance, are thrilled about latest technology, full of energy and ambition, hands-on and not afraid of making your hands dirty, this is the right position for you.

What should you bring along?

  • BSc/BEng Computer Science, Math, Engineering
  • Minimum 3+ years of experience in a similar role
  • Develop, test and maintain high-quality software using Python
  • Solve real industrial problems with Machine Learning
  • Develop, deploy and operate Machine Learning models in production systems
  • Design and implement efficient machine learning and data pipelines on Azure
  • Develop CI/CD workflows
  • Implement MLOps processes for continuous improvement in the model lifecycle
  • Support development of monitoring and re-training procedures for models in production
  • Stay up to date with the latest advancements in Machine Learning
  • Work closely with an international team of Data Scientists, Machine Learning and Software Engineers

Must have technical skill

  • Strong foundation in Deep Learning, particularly on Computer Vision or/and Generative models.
  • Experience with Deep Learning frameworks such as PyTorch or Tensorflow.
  • Very good Python skills
  • Experience with developing and deploying Machine Learning solutions.

Good to have technical skills

  • Good understanding of modern MLOps best practices
  • Good understanding of DevOps tools and technologies such as Kubernetes, GitOps, CI/CD
  • Experience with cloud provider solutions, especially Azure
  • Experience with building pipelines on Azure Machine Learning
  • Basic understanding of networking and security practices on cloud
  • Proficiency in designing and developing APIs with experience in at least one of major frameworks (FastAPI, GraphQL, Django, or Flask)

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