Data Architect - R01570398
Brillio · Bengaluru · onsite · Posted 52d ago
Undisclosed7–10 yrsfulltimeSourced from
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About this role
Data Architect
Job requirements
- Design and architect robust data pipelines and frameworks to support advanced analytics, machine learning, and AI workloads
- Develop and implement statistical and AI models, including regression (linear and logistic), classification algorithms, forecasting techniques (ARIMA, exponential smoothing), and deep learning architectures
- Lead the integration of probabilistic graph models, advanced statistical tests (hypothesis testing, T-Test, Z-Test), and AI-driven solutions into production systems
- Collaborate with data scientists and engineering teams to optimize data workflows and AI model deployment using tools such as KubeFlow and BentoML
- Ensure data quality and integrity by implementing validation frameworks like Great Expectations and Evidently AI
- Manage and optimize large-scale data processing and AI environments using Python, PySpark, R, and SAS/SPSS
- Evaluate and select appropriate machine learning and AI frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet) for scalable model deployment
- Provide technical leadership in the adoption of emerging technologies and best practices in data architecture, advanced analytics, and AI solutions
- Advanced proficiency in Python and PySpark
- Expertise in statistical analysis and computing
- Hands-on experience with SAS and SPSS
- Strong knowledge of hypothesis testing, T-Test, and Z-Test
- Experience with regression techniques (linear and logistic)
- Proficiency in probabilistic graph models
- Familiarity with Great Expectations and Evidently AI for data validation
- Forecasting expertise using ARIMA, ARIMAX, and exponential smoothing
- Working knowledge of KubeFlow and BentoML
- Experience with classification algorithms (Decision Trees, SVM)
- Experience architecting AI solutions and deploying deep learning models
- Advanced experience with ML and AI frameworks such as TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, and MXNet
- Expertise in distance metrics (Hamming, Euclidean, Manhattan)
- Proficiency in R and R Studio
- Experience with scalable AI model deployment in cloud environments
- Knowledge of automated model monitoring, drift detection, and AI lifecycle management
- Bachelors degree in Computer Science, Data Science, Statistics, Mathematics, or a closely related discipline
- Certification in Data Architecture, Data Science, or AI (e.g., Certified Data Professional, Microsoft Certified: Azure Data Scientist Associate, AI Architect certification)
- Certification in Machine Learning frameworks or platforms (e.g., TensorFlow Developer Certificate, AWS Certified Machine Learning - Specialty)
Experience Range: With at least 7 to 10 years of experience in data architecture, data science, advanced statistical modeling, and AI architecture Key Responsibilities:
Required Skills:
Preferred Skills:
Desired Qualifications:
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
data qualityspssdata architectureMonitoringSASPythonComputer ScienceMicrosoftMachine LearningRecruitment
About Brillio
Brillio
IT Services & Consulting
3.7k+
employees
2014
12 years old
Dallas, US state of Texas
CU
About
Brillio offers comprehensive digital transformation services, focusing on customer experience, AI, and product engineering to drive business innovation.
Industries
IT Services & ConsultingAnalytics & KPO
Employee ratings
1,318 reviews
3.4/ 5
Culture
3.2
Career growth
2.8
Work-life
3.4
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