Back
Tier-1 brand, mid-level ML/AI role with broad GenAI/MLOps needs in a metro increases competition.
Skills largely transferable across industries, though healthcare/regulatory experience is a meaningful plus.
Explicit years plus domain and MLOps requirements create moderate selectivity.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and deploy production-grade AI and data solutions for MRI service lifecycle, including predictive failure models, GenAI assistants, and analytics for service profitability.
Build and maintain scalable data pipelines, develop ML models and agentic AI workflows, and operationalize these across global MRI service platforms.
Implement AI engineering best practices (MLOps/LLMOps, CI/CD, monitoring) in a regulated healthcare environment with responsibility for model performance and compliance according to MedTech standards.
Bachelor's or Master's degree in Computer Science, AI, Data Science, Software Engineering, or related field.
3-6 years of experience in Data Engineering, AI Engineering, Machine Learning, or related fields with a Bachelor's degree OR minimum 4 years relevant experience with vocational/equivalent qualification.
Experience with AI/ML production, data engineering, and cloud platforms (Azure preferred) is implied but not strictly mandated.
Office-based role requiring presence at company facilities (India location not explicitly detailed).
Experienced in taking Generative AI or agentic AI applications from POC to production in enterprise settings, preferably with Azure AI or Amazon Bedrock platforms.
Comfortable working in a globally distributed, remote-first team across multiple time zones spanning India, Europe, and North America.
Familiar with healthcare or MedTech regulated environments, including AI governance and data privacy compliance (e.g., GDPR) for complex operational datasets.