Mirrai Careers

Data Architect - R01570398

Brillio

Bangalore, Karnataka, India Posted 12d ago
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Data Architect JOB REQUIREMENTS Experience Range: With at least 7 to 10 years of experience in data architecture, data science, advanced statistical modeling, and AI architecture Key Responsibilities: * 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 Required Skills: * 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 Preferred Skills: * 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 Desired Qualifications: * Bachelor's 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)

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