AI/ML Architect
Category Application Development and Support
Location Hyderabad, Telangana
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.
“I love working here because Quest has been my second family and second home. I've experienced a wholesome work environment, and good management.”
- Quest Employee
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