Machine Learning Engineer (Computer Vision)

About this role

About the Company Embitel Technologies is a Volkswagen AG (VW) Group Company. VW is a German multinational automotive manufacturing corporation headquartered in Wolfsburg, Germany. VW is one of the world’s largest automaker by sales. VW sold 10.9 million vehicles in 2019. The group comprises of 12 brands from seven European Countries: Volkswagen, Audi, Lamborghini, Porsche, Bugatti, Bentley, Ducati (motorcycles), Skoda, SEAT, Scania, MAN and Volkswagen commercial vehicles.

About CARIAD (Car, I Am Digital)

The automotive industry is in disruption. As a company, CARIAD is playing a part in multiple large trends at the same time: electrification, automation, and digitalization. The new name builds on changing customer needs. Automotive customers are demanding more comfort, more safety, more sustainability, and more connectivity. With its software platforms and digital features, CARIAD is developing solutions and products that will turn the car into a smart companion to accompany customers into the future with continuous updates and new digital features, even years later. The new company name reflects this zeitgeist: ‘Car, I Am Digital’. The brand profile can be found on its new website https://cariad.technology.

Currently, around 4,000 employees are working at CARIAD on the digital transformation of the car. CARIAD is working intensively on the software and technology platform for Premium Platform Electric (PPE). The first vehicles based on PPE will be the electric Porsche Macan and Audi Q6 e-tron. At the core of CARIAD is the development of the unified and scalable software and technology platform E³ 2.0 for all Group brands. E³ stands for ‘end to end electronics architecture’. The new software and technology platform is built from scratch and will be used first at the end of 2024 in Artemis, the lighthouse project of Audi. As of 2026, E³ 2.0 is due to be scaled by the Volkswagen brand with Trinity in the volume segment.

About our Group

CARIAD COE (Centre of Excellence) is setup in Bangalore, India working exclusively with CARIAD and associated VW groups with the focus on development of ‘VW.OS”. The areas of work involve development of platform components such as firmware, boot loaders, AUTOSAR, Linux/QNX BSP, Service oriented architecture-based middleware components.

Job Description:

Job Description – Machine Learning Engineer (Computer Vision)

About the role

We are hiring a Machine Learning Engineer with 3+ years of hands-on experience to build, deploy and operate AI and computer vision systems on Microsoft Azure. You will own models end to end: from data pipelines and training to production deployment, monitoring and retraining.

Role: Machine Learning Engineer

Experience: 3 to 5 Years

Cloud: Microsoft Azure

Location: [Bangalore / Hybrid ]

Type: Full-time

Key responsibilities:

AI and computer vision

• Design, train and fine-tune models for image classification, object detection, segmentation and OCR
• Build image and video processing pipelines with OpenCV, including augmentation workflows.
• Explore and integrate generative AI where it fits, such as Azure OpenAI and vision-language models.

Data engineering

• Build batch and streaming pipelines with Azure Data Factory, Azure Databricks and PySpark.
• Manage data in Azure Data Lake Storage and Blob Storage, including large image and video datasets.
• Ensure data quality, versioning and lineage for training and evaluation datasets.

MLOps on Azure

• Run experiments, model registry and deployments in Azure Machine Learning (pipelines, managed online and batch endpoints).
• Build CI/CD for models and pipelines with Azure DevOps or GitHub Actions.
• Containerize services with Docker and deploy to Azure Kubernetes Service (AKS) or Azure Container Apps.
• Monitor models in production for drift, accuracy and latency with Azure Monitor and Application Insights, and automate retraining.
• Manage infrastructure as code with Terraform

Collaboration

• Work with data scientists, product owners and software engineers to turn business problems into ML solutions.
• Write clear documentation and take part in code reviews.

Required qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, AI, Electrical Engineering or a related field.
• 3+ years of professional experience in machine learning engineering, with at least 2 years on computer vision projects.
• At least one computer vision model taken from prototype to production and maintained there.
• 2+ years working with Microsoft Azure data and ML services.
• Strong Python and solid software engineering habits: testing, version control, clean code.
• Good grasp of ML fundamentals: model evaluation, feature engineering, and deep learning architectures.
• Clear communication with both technical and non-technical stakeholders.

Nice to have

• Microsoft certifications: Azure Data Scientist Associate (DP-100),
• Experience with AgenticAI, RAG.

Working with Embitel

• Freedom to challenge norms, make mistakes, learn and grow
• There is no ‘I’ in word ‘Team’ and no hierarchy at Embitel
• Employees of Embitel are partners of our excellence and growth. And they are at the core of

organization’s Mission and Vision

To explore an exciting & progressive Career development at Embitel India:

• Visit us at: www.embitel.com
• Follow us at LinkedIn: https://www.linkedin.com/company/embitel-technologies-india