Contractor AI/ML Cloud Architect

Overview:

We are seeking a highly skilled and experienced AI/ML Cloud Architect to lead the design and implementation of cutting-edge artificial intelligence and machine learning solutions on cloud platforms. The ideal candidate will have a deep understanding of cloud services, AI/ML frameworks, and architectural principles to drive the development and deployment of scalable and efficient AI/ML systems. This role requires a strong technical background, hands-on experience with cloud-based AI/ML technologies, and the ability to collaborate with cross-functional teams to deliver innovative solutions.

Key Responsibilities:

• Cloud Architecture Design: Architect, design, and implement AI/ML solutions on major cloud platforms (AWS, Azure, Google Cloud, etc.), ensuring scalability, performance, and cost-effectiveness.
• AI/ML System Design: Develop end-to-end AI/ML workflows, including data collection, data processing, model training, model deployment, and monitoring.
• Technology Selection: Evaluate and recommend appropriate tools, frameworks, and cloud services (e.g., TensorFlow, PyTorch, SageMaker, Azure ML, BigQuery, Databricks, etc.) based on project requirements.
• Model Deployment & Integration: Design strategies for model deployment (batch vs. real-time), continuous integration/continuous deployment (CI/CD) pipelines for machine learning models, and integration with existing enterprise systems.
• Data Management & Engineering: Work closely with data engineering teams to ensure efficient data pipelines, data lake/warehouse setups, and integration of data from various sources.
• Cloud Security & Compliance: Implement security best practices for cloud-based AI/ML environments, ensuring compliance with relevant regulations (e.g., GDPR, HIPAA).
• Collaboration: Partner with data scientists, software engineers, and business stakeholders to understand requirements, deliver solutions, and optimize workflows.
• Performance Tuning: Optimize the performance of AI/ML models, improve training times, and ensure minimal latency in production deployments.
• Documentation & Knowledge Sharing: Create detailed architecture diagrams, system documentation, and best practices to facilitate team collaboration and future scalability.
• Research & Innovation: Stay updated with emerging AI/ML technologies, industry trends, and new cloud services, and continuously evaluate opportunities for innovation and optimization.

<>Required Skills & Qualifications:</>

• Experience: 5+ years of experience in AI/ML, with at least 3 years focused on cloud-based architecture, design, and deployment.
• Cloud Expertise: Proven experience working with major cloud platforms (AWS, Azure, Google Cloud) and their AI/ML services.
• AI/ML Frameworks: Proficiency in using popular AI/ML frameworks and libraries such as TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost, and others.
• Data Engineering: Strong knowledge of data pipelines, ETL processes, and big data platforms (e.g., Apache Kafka, Spark, Hadoop).
• Programming: Advanced proficiency in Python, R, or similar languages used for AI/ML.
• Model Deployment: Hands-on experience with deploying machine learning models at scale using cloud-based services (e.g., AWS SageMaker, Azure ML, Google AI Platform).
• CI/CD for ML: Experience with CI/CD practices and tools in the context of AI/ML (e.g., Git, Jenkins, Kubeflow, MLflow).
• Security & Compliance: Familiarity with cloud security best practices, especially for AI/ML workloads, and regulatory compliance frameworks.
• Problem-Solving: Strong analytical and problem-solving skills with the ability to troubleshoot and resolve issues quickly.
• Communication: Excellent verbal and written communication skills, with the ability to translate technical concepts into business value.