The Role
Designs data pipelines and AI architecture for advanced analytics, machine learning, and deep learning workloads. Develops statistical, forecasting, classification, probabilistic graph, and AI models; integrates and deploys them in production using KubeFlow and BentoML. Ensures data quality with validation and monitoring frameworks, optimizes large-scale Python, PySpark, R, SAS, and SPSS environments, evaluates AI frameworks, and provides technical leadership for scalable cloud-based AI solutions.
Summary Generated by Built In
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
- 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)
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:
Skills Required
- At least 7 to 10 years of experience in data architecture, data science, advanced statistical modeling, and AI architecture
- Advanced proficiency in Python and PySpark
- Expertise in statistical analysis and computing
- Hands-on experience with SAS and SPSS
- Knowledge of hypothesis testing, T-Test, and Z-Test
- Experience with linear and logistic regression techniques
- Proficiency in probabilistic graph models
- Familiarity with Great Expectations and Evidently AI
- Forecasting expertise using ARIMA, ARIMAX, and exponential smoothing
- Working knowledge of KubeFlow and BentoML
- Experience with classification algorithms, including Decision Trees and SVM
- Experience architecting AI solutions and deploying deep learning models
- Advanced experience with TensorFlow, PyTorch, Scikit-learn, CNTK, Keras, and MXNet
- Expertise in Hamming, Euclidean, and Manhattan distance metrics
- Proficiency in R and RStudio
- Experience with scalable AI model deployment in cloud environments
- Knowledge of automated model monitoring, drift detection, and AI lifecycle management
- Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related discipline
- Certification in Data Architecture, Data Science, or AI
- Certification in machine learning frameworks or platforms
Brillio Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Brillio and has not been reviewed or approved by Brillio.
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Healthcare Strength — Healthcare is considered comprehensive, including medical coverage for employees and dependents alongside life, disability, and accidental death protections. Feedback suggests these protections are a core strength of the package.
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Leave & Time Off Breadth — Time-off options include paid leave and parental leave, with flexible or ‘flexible PTO’ approaches cited in some contexts. Feedback suggests this breadth helps support work-life balance when team norms permit usage.
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Wellbeing & Lifestyle Benefits — Wellbeing offerings span counseling, financial-management sessions, fitness programs, and travel insurance, plus region-specific extras like discounted IT hardware and work-from-home essentials. Feedback suggests these add-ons enhance perceived value beyond core insurance.
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The Company
What We Do
Brillio is the leader in global digital business transformation, applying technology with a human touch. We help businesses define internal and external transformation objectives, and translate those objectives into actionable market strategies using proprietary technologies. With 2600+ experts and 13 offices worldwide, Brillio is the ideal partner for enterprises that want to quickly increase their core business productivity, and achieve a competitive edge, with the latest digital solutions.
