Machine Learning Engineer (Computer Vision)

About the role

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.
• 3 to 5 Years
• Cloud: Microsoft Azure
• Location: [Bangalore / Hybrid ]
• Type: Full-time
• 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.

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