Job description

## 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.

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