AI Model Architect

Qualifications

• Proven experience in deploying, scaling, and integrating generative AI applications
• Strong expertise in unit testing and regression testing to ensure quality and stability
• Bachelor's or Master's degree in Engineering, Computer Science, or equivalent experience
• At least 4-5 years of relevant experience as an MLOps Engineer
• Extensive experience with TensorFlow or PyTorch, and familiarity with HuggingFace
• Track record of fine-tuning, running large-scale training jobs, and managing model servers like vLLM, TGI, or TorchServe
• Ability to work independently and collaboratively, manage priorities, and deliver high-quality results within project timelines

Benefits

• Competitive pay and benefits package
• Opportunity to work on cutting-edge AI projects that impact patient care
• Flexible work environment and remote work options

Responsibilities

• As a critical member of our AI team, you will contribute to developing and deploying scalable ML models that transform the healthcare industry
• Design and deploy production-ready ML models that meet business requirements
• Collaborate with data engineers and scientists to design and implement data pipelines and model architectures
• Set up and maintain end-to-end pipelines for data ingestion, model inference, and model retraining

Full Description

Senior Machine Learning Engineer

We are looking for a talented Senior Machine Learning Engineer to join our team at Altea Healthcare. As a critical member of our AI team, you will contribute to developing and deploying scalable ML models that transform the healthcare industry.

Key Responsibilities:

• Design and deploy production-ready ML models that meet business requirements.

• Collaborate withdata engineers and scientists to design and implement data pipelines and model architectures.

• Set up and maintain end-to-end pipelines for data ingestion, model inference, and model retraining.

Required Skills and Qualifications:

• Proven experience in deploying, scaling, and integrating generative AI applications.

• Strong expertise in unit testing and regression testing to ensure quality and stability.

• Experience working with Azure DevOps, Azure App Services, and Azure Functions is highly preferred.

Other Requirements:

• Bachelor's or Master's degree in Engineering, Computer Science, or equivalent experience.

• At least 4-5 years of relevant experience as an MLOps Engineer.

• Extensive experience with TensorFlow or PyTorch, and familiarity with HuggingFace.

• Track record of fine-tuning, running large-scale training jobs, and managing model servers like vLLM, TGI, or TorchServe.

• Ability to work independently and collaboratively, manage priorities, and deliver high-quality results within project timelines.

Benefits:

• Competitive pay and benefits package.

• Opportunity to work on cutting-edge AI projects that impact patient care.

• Flexible work environment and remote work options.