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 Senior 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
PhD or masters degree in computer science Mathematics Engineering or a related field
8 years of hands-on experience in Data Science Machine Learning or a closely related role
Design develop test and maintain high-quality production-grade software using Python
Solve real-world industrial problems using Machine Learning and Deep Learning
Build deploy operate and scale Machine Learning models in production environments
Design and implement efficient data and ML pipelines primarily on Microsoft Azure
Develop and maintain CI/CD workflows for ML systems
Implement and evolve MLOps processes to support the full model lifecycle
Define and support model monitoring performance tracking and automated retraining
Collaborate closely with other Data Scientists ML Engineers and GenAI Developers
Stay current with emerging trends and advancements in Machine Learning and AI
Must have technical skill
Strong foundation in Deep Learning with a focus on Computer Vision and/or Generative Models
Hands-on experience with PyTorch and/or TensorFlow
Advanced proficiency in Python
Proven experience designing developing and deploying end-to-end ML solutions in production
Good to have technical skills
Solid understanding ofmodern MLOps best practices
Familiarity withDevOps tools and methodologies including Kubernetes GitOps and CI/CD pipelines
Experience working withcloud platforms especiallyMicrosoft Azure
Hands-on experience building pipelines usingAzure Machine Learning
Basic understanding ofcloud networking and security principles
Experience designing and developingAPIs using at least one major framework such as:
FastAPI
GraphQL
Django
Flask
Required Experience:
Manager
RoleSenior Data ScientistLocationChennaiFlexibility to travel for business tripsExperience:10 to 12 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 qual...
Role
Senior Data Scientist
Location
Chennai
Flexibility to travel for business trips
Experience:
10 to 12 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 Senior 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
PhD or masters degree in computer science Mathematics Engineering or a related field
8 years of hands-on experience in Data Science Machine Learning or a closely related role
Design develop test and maintain high-quality production-grade software using Python
Solve real-world industrial problems using Machine Learning and Deep Learning
Build deploy operate and scale Machine Learning models in production environments
Design and implement efficient data and ML pipelines primarily on Microsoft Azure
Develop and maintain CI/CD workflows for ML systems
Implement and evolve MLOps processes to support the full model lifecycle
Define and support model monitoring performance tracking and automated retraining
Collaborate closely with other Data Scientists ML Engineers and GenAI Developers
Stay current with emerging trends and advancements in Machine Learning and AI
Must have technical skill
Strong foundation in Deep Learning with a focus on Computer Vision and/or Generative Models
Hands-on experience with PyTorch and/or TensorFlow
Advanced proficiency in Python
Proven experience designing developing and deploying end-to-end ML solutions in production
Good to have technical skills
Solid understanding ofmodern MLOps best practices
Familiarity withDevOps tools and methodologies including Kubernetes GitOps and CI/CD pipelines
Experience working withcloud platforms especiallyMicrosoft Azure
Hands-on experience building pipelines usingAzure Machine Learning
Basic understanding ofcloud networking and security principles
Experience designing and developingAPIs using at least one major framework such as:
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