AIML Data Architect
AIML Data Architect
Posted on :
12-02-2025
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1 Vacancy
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Job Description
Role: AI/ML Data Architect
Duration: 12 Months
Location: Bay Area (Concord CA & San Francisco CA) and Charlotte NC (Hybrid)
AI/ML Data Architect
- We are seeking a highly skilled AI/ML Data Architect to design and implement scalable data architectures that support AI and machine learning workloads.
- The ideal candidate will have expertise in big data technologies cloud platforms data pipelines and AI/ML model deployments.
- You will work closely with data scientists engineers and business stakeholders to create a robust data ecosystem that enables advanced analytics and AIdriven decisionmaking.
Key Responsibilities:
- Data Architecture & Strategy
- Design and implement scalable highperformance data architectures for AI/ML applications.
- Develop data governance security and compliance frameworks for AI/ML data ecosystems.
- Define and implement data integration processing and storage best practices.
AI/ML Data Engineering
- Build endtoend data pipelines to support AI/ML model training inference and monitoring.
- Optimize data ingestion transformation and feature engineering for ML models.
- Implement data versioning lineage and metadata management.
- Cloud & Big Data Technologies
- Design AI/ML data solutions on AWS Azure or GCP.
- Utilize big data technologies such as Apache Spark Hadoop Kafka and Delta Lake.
- Implement serverless architectures containerized workloads (Kubernetes Docker) and MLOps frameworks.
AI Model Deployment & ML Ops
- Work with ML engineers and data scientists to deploy AI/ML models at scale.
- Establish MLOps best practices including automated model retraining monitoring and CI/CD pipelines.
- Ensure models ar efficient explainable and compliant with enterprise policies.
- Security Compliance & Performance Optimization
- Implement data security access controls and compliance with GDPR HIPAA and other regulations.
- Optimize data storage retrieval and compute performance for AI/ML workloads.
- Ensure high availability disaster recovery and fault tolerance of AI data pipelines.
- Collaboration and Thought Leadership
- Work closely with data scientists engineers and business leaders to align AI/ML strategies with business goals.
- Provide technical leadership and mentorship to teams working on AI/ML solutions.
- Stay updated with emerging AI/ML data engineering and cloud technologies.
Required Skills & Qualifications:
- Bachelors or Masters degree in Computer Science Data Engineering AI/ML or related field.
- 5 years of experience in data architecture data engineering or AI/ML infrastructure.
- Expertise in big data technologies (Spark Kafka Hadoop Delta Lake etc).
- Proficiency in cloud platforms (AWS Azure or GCP) and data services.
- Strong knowledge of SQL Python Scala or Java.
- Handson experience with AI/ML model deployment MLOps and CI/CD.
- Experience with Kubernetes Docker and serverless computing.
- Strong understanding of data governance security and compliance.
Preferred Certifications:
- AWS Certified Data Analytics Specialty
- Google Professional Data Engineer
- Microsoft Certified: Azure Data Engineer Associate
- Databricks Certified Data Engineer
Employment Type
Full Time
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