AI/ML Engineer

SAAP Technologies; Hyderabad; On-site; INR 900,000 - 1,800,000; Full time

Job summary

SAAP Technologies in Hyderabad is seeking an AI/ML Engineer to build and integrate AI capabilities for healthcare applications. Responsibilities include training models, building NLP pipelines, and deploying via Azure ML, with emphasis on data pipelines and MLOps.

Ideal candidates have 4–8 years in AI/ML, strong Python/TensorFlow/PyTorch skills, and experience deploying models in cloud environments. Healthcare experience preferred.

Qualifications

• 4–8 years of AI/ML experience in healthcare or enterprise apps.
• Proficient in Python, TensorFlow/PyTorch and NLP.
• Experience deploying models with cloud ML services.
• Knowledge of MLOps, versioning and monitoring.

Responsibilities

• Develop, train and evaluate machine learning models.
• Build AI capabilities including speech-to-text and predictive analytics for healthcare apps.
• Develop and maintain data pipelines.
• Deploy ML models using Azure ML or equivalent cloud ML services.
• Implement MLOps practices including model versioning and monitoring.
• Integrate ML models with production APIs and applications.
• Monitor production models and optimize performance.

Skills

Python

TensorFlow

PyTorch

NLP

MLOps

Data Pipelines

ML APIs

Tools

Azure ML

Job description

# AI/ML EngineerLocationHyderabadExperience4–8 YearsEmploymentfull-time#### Position DescriptionWe are looking for an AI/ML Engineer to build and integrate AI/ML capabilities such as speech-to-text and predictive analytics into healthcare applications.**Responsibilities & Requirements:**• Develop, train and evaluate machine learning models.• Work with Python, TensorFlow/PyTorch and NLP technologies.• Build AI capabilities including speech-to-text and predictive analytics.• Develop and maintain data pipelines.• Deploy ML models using Azure ML or equivalent cloud ML services.• Implement MLOps practices including model versioning and monitoring.• Integrate ML models with production APIs and applications.• Monitor production models and optimize performance.• Healthcare or enterprise application experience is preferred.#### Technology StackPythonTensorFlowPyTorchNLPAzure MLMLOpsModel VersioningModel MonitoringData PipelinesML APIs