21 hours ago
Bengaluru, IndiaSenior
Responsibilities
- Lead the design and architecture of scalable enterprise AI platforms.
- Define and implement model lifecycle management, MLOps/LLMOps, and AI observability frameworks.
- Establish Responsible AI principles, governance frameworks, security controls, compliance practices, and technical guardrails.
- Drive platform-level technical decisions and define reusable AI and GenAI architecture patterns, standards, and reference models.
- Collaborate with business, data, technology, and platform teams to translate AI architecture principles into production-ready capabilities.
- Evaluate emerging AI technologies for applicability to enterprise AI platforms.
- Maintain and improve AI model governance, version control, and documentation.
Requirements
- At least 6 years of experience in AI/ML engineering, including hands-on experience designing, building, and operationalizing enterprise-scale AI platforms.
- Expertise in enterprise-scale AI platform design and operationalization.
- Deep proficiency in model lifecycle management, MLOps/LLMOps, and AI observability.
- Advanced programming skills in Python and PySpark.
- Experience with cloud-based AI platforms and modern data and AI architectures.
- Knowledge of Responsible AI, AI governance, model risk, security, and compliance.
- Hands-on experience with KubeFlow and BentoML for ML pipeline orchestration.
- Competence with classification algorithms such as decision trees and SVM, regression analysis, and statistical computing for large datasets.
- Experience with Great Expectations and Evidently AI for model validation.
- Preferred experience with GenAI architectures, large language models, AI agents, vector databases, AI orchestration, and reusable AI architecture patterns.
- Preferred proficiency with TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, or MXNet.
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a closely related discipline.
- Preferred certification in Machine Learning or Data Science and relevant certification in statistical analysis or advanced analytics.
Categories
About Brillio
Brillio is a privately held digital engineering and enterprise AI services firm that helps Fortune 1000 companies modernize products, data, and infrastructure. It combines consulting and managed services with an accelerator platform (ADAM) across cloud, AI, data engineering, customer experience, and infrastructure workstreams. Founded in 2014 and headquartered in Dallas, it operates delivery centers across North America, Europe, and Asia, with focus areas that include healthcare and life sciences.