Data & AI Architect

Diverse Lynx LLC

United States

3 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Compensation

$160,000.0 - $170,000.0

Working hours

Regular working hours

Job source

www.careerbuilder.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Microsoft Azure Cyber Security Continuous Delivery Continuous Integration Data as a Services Data Architecture Data Security Python (Programming Language) Lynx Machine Learning

+23 more

Tensorflow Azure Machine Learning Azure Data Lake SQL Databases Privacy Controls Scripting Feature Engineering Azure Data Factory Pytorch Apache Spark Containerization Data Lakes Scikit Learn Kubernetes Data Management Machine Learning Operations Api Design Azure Synapse Analytics Software Version Control Data Pipelines Serverless Computing Docker Databricks

Job description

Architect end-to-end AI/ML solutions using Azure services (Azure ML, Synapse, Data Lake, etc.) and Databricks.
Lead technical design sessions and guide teams on best practices for scalable and secure AI solutions.
Collaborate with data scientists, engineers, and business stakeholders to translate business problems into AI solutions.
Design and implement MLOps pipelines for model training, deployment, monitoring, and governance.
Optimize data pipelines and feature engineering workflows using Spark and Delta Lake on Databricks.
Ensure compliance with data privacy, security, and governance standards.
Evaluate and integrate emerging AI technologies and frameworks.
Provide technical leadership and mentorship to junior architects and engineers.

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company. Remote

Requirements

Strong expertise in Microsoft Azure AI & Data services: Azure Machine Learning, Azure Synapse, Azure Data Factory, Azure Data Lake, Azure Functions.
Hands-on experience with Databricks: Spark, Delta Lake, MLflow, notebooks, and job orchestration.
Proficiency in Python, SQL, and ML frameworks like TensorFlow, PyTorch, Scikit-learn.
Experience with MLOps tools and practices: CI/CD, model versioning, monitoring, and retraining.
Deep understanding of data architecture, feature stores, and real-time inference.
Familiarity with containerization (Docker, Kubernetes) and API development for model serving.
Excellent communication and stakeholder management skills.
Azure certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert) are a plus., Application Programming Interface (API), Artificial Intelligence (AI), Best Practices, Communication Skills, Continuous Deployment/Delivery, Continuous Integration, Data Lake, Data Management, Data Science, Docker, Emerging Technology, Equipment Maintenance/Repair, Information/Data Security (InfoSec), Machine Learning, Maintain Compliance, Mentoring, Microsoft Windows Azure, Privacy Controls, Python Programming/Scripting Language, SQL (Structured Query Language), Technical Leadership, Technical/Engineering Design