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 BMWs 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)
Required Experience:
Senior IC
Data ScientistLocationChennai / BangaloreFlexibility to travel for business tripsExperience:3 Years of experienceWhat awaits you/ Job ProfileOur 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 co...
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 BMWs 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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