Senior AI/ML Engineer - R01572485
पद का विवरण
Job requirements
Experience Range: with at least 6 years of experience in AI/ML engineering, including hands-on expertise in designing, building, and operationalizing enterprise-scale AI platforms KeyResponsibilities
- Lead the design and architecture of enterprise-scale AI platforms, ensuring scalability, security, and operational readiness
- Define and implement frameworks for model lifecycle management, MLOps/LLMOps, and AI observability to support robust deployment and monitoring
- Establish and enforce Responsible AI principles, governance frameworks, and technical guardrails across AI solutions
- Drive platform-level technical decision-making and define reusable architecture patterns, standards, and reference models for AI and GenAI solutions
- Collaborate with business, data, technology, and platform teams to translate AI architecture principles into production-ready capabilities
- Evaluate emerging AI technologies and assess their applicability to enterprise AI platforms, supporting long-term scalability and business outcomes
- Maintain and improve AI model governance, version control, and documentation for ongoing operational excellence
Skills
- 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/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 in classification algorithms such as decision trees and SVM
- Experience with Great Expectations and Evidently AI for model validation
- Strong proficiency in regression analysis (linear and logistic)
- Statistical analysis and computing for large datasets
Skills
- Experience with GenAI architectures, large language models, and AI agents
- Proficiency in advanced ML frameworks such as TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, or MXNet
- Knowledge of vector databases and AI orchestration
- Understanding of AI observability and Responsible AI frameworks
- Experience developing reusable AI architecture patterns and accelerators
Qualifications
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a closely related discipline
- Certification in Machine Learning or Data Science (e.g., TensorFlow Developer Certificate, Microsoft Certified: Azure AI Engineer Associate)
- Relevant certification in statistical analysis or advanced analytics (e.g., SAS Certified Specialist, IBM Data Science Professional Certificate)
उल्लिखित कौशल
At Brillio, our customers are at the heart of everything we do. We were founded on the philosophy that to be truly exceptional at something, you must be unreasonably focused. That's why we are relentless in delivering the technology-enabled solutions our customers need to thrive in today's digital economy. Many businesses face the challenge of navigating constant technological disruption. Our purpose is to help them turn these disruptions into a competitive advantage. We partner with Fortune 1000 companies, guiding them through their digital transformation journey by applying our deep expertise in the four superpowers of modern technology: cloud, internet of things, artificial intelligence, and mobility. We don't just provide services; we build partnerships, ensuring that our success is intrinsically tied to the success of our clients. We strive to provide not only what our customers want, but also what they truly need to win in the marketplace. Our approach is customer-centric and outcome-driven, with a significant portion of our revenue tied directly to client success. This model ensures we are fully invested in delivering tangible results. We help businesses across various industries—including banking and finance, healthcare, retail, and media—to create new customer experiences, achieve significant cost efficiencies, and gain a sustainable competitive edge. Whether it's developing innovative digital products, building robust service platforms, or leveraging data-driven insights to optimize performance, our team of over 6,000 'Brillians' is dedicated to engineering a better tomorrow for our clients, today. We combine our deep business and technology expertise with a consultative approach and an unwavering focus on client success, enabling organizations to innovate swiftly and achieve long-term, sustainable growth in the complex digital landscape.
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