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More: Impact Discover a role that empowers some of life’s most important healthcare decisions.

AI/ML Architect

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Category Application Development and Support Location Hyderabad, India Job family Architecture
Shift Evening Employee type Regular Full-Time
  • 12 to 16 years of experience in Artificial Intelligence, Machine learning technologies, GenAI technologies.
  • Proven experience as an Enterprise Architect, Solution Architect, or a similar role, with a focus on AI/ML and generative AI.  
  • Core expertise in architecting AI/ML, Deep learning & GEN AI Solutions end-to-end.
  • Proven skills building machine learning, deep learning models leveraging large datasets.
  • Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms. 
  • Proficiency in NLP and computer vision techniques to extract insights from unstructured clinical/healthcare data.
  • Experience in designing algorithms for predictive analytics for efficient data analysis and processing.
  • Hands-on experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics, ML and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and ML techniques.  
  • Proven expertise with LLMs (Google Vertex AI, Gemini / Microsoft Azure Open AI /and other LLM models) including API access for GenAI.  
  • Proven expertise in CI/CD pipeline design and management in the Generative AI space including experience with LLMOPS.
  • Understanding and working knowledge of Agentic AI and its usage in the intelligent automation of business workflows.
  • Should have working knowledge of how to integrate RAG and MCP into AI solution designs to address specific business needs. 
  • Strong hands-on experience with Cloud databases such as Snowflake, Aurora, Google BigQuery etc.
  • Strong Hands-on experience with SAS GRID/SAS VIYA, AWS Sage maker, Jupyter Notebooks, and platforms like AWS bedrock and Azure data science workbench.
  • Familiarity with data structures, data modeling, and software architecture 
  • Strong understanding of HIPAA regulations and healthcare data privacy laws is a must-have for this role, as the healthcare domain requires strict adherence to data privacy and security regulations.
  • Strong experience with AI/MLOps concepts and Generative AI technology.
  • Must be skillful in documenting architectural artifacts, establishing reference architectures.
  • Well-versed in following enterprise architecture governance, enforce best practices/standards, prepare architecture blueprints, strategies, and roadmaps.
  • Excellent written and oral communication skills to convey key choices, recommendations, and technology concepts to technical and non-technical audiences.
  • Experience utilizing API development and integration using tools such as MuleSoft and REST APIs
  • Proven skills of leading junior team members guiding/orienting them ensuring smooth & timely completion of tasks.

“Quest is a very patient centric company; we’re looking to raise the quality of healthcare through diagnostic and digital insights. You will get lots of exposure to different people and geographies.”

- Megha Kandagal, Analyst, Data Quality

Submit your resume

Submit your updated resume to us via email at HTASIndiaCareers@questdiagnostics.com. Our team will process your request and contact you about appropriate vacancies.

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