As an AI Solution Architect at Master-Works, you will be at the forefront of designing and implementing advanced AI solutions that transform business processes and drive innovation. In this role, you will leverage your expertise in artificial intelligence and machine learning to create scalable, high-performance architectures tailored to meet the evolving needs of our clients.

Key Responsibilities:

1. Platform Design and Development:
• Architect and implement advanced AI and machine learning platforms using tools such as SAS Viya, R-Studio, Nvidia GPUs, and Cloudera CML.
• Ensure robust and scalable solutions to support diverse AI/ML workloads.
2. MLOps and Generative AI:
• Drive the adoption of MLOps, LLMOps, and Generative AI practices to streamline model development, deployment, and monitoring.
• Design workflows and pipelines that facilitate continuous integration and delivery of AI solutions.
3. Telecom Sector Expertise:
• Apply AI/ML solutions tailored to the specific needs and challenges of the telecom industry.
• Ensure alignment with sector-specific standards and best practices.
4. Cloud Platform Management:
• Utilize cloud platforms such as Azure ML, GCP ML, and other AI stacks to develop and deploy AI/ML solutions.
• Optimize platform performance, cost, and scalability within cloud environments.
5. Project Management:
• Manage AI/ML projects to ensure timely delivery and alignment with organizational objectives.
• Collaborate with stakeholders to define project requirements and success criteria.
6. Security and Compliance:
• Ensure all AI/ML platforms and solutions meet security, compliance, and industry standards.
• Proactively address risks related to data privacy and platform vulnerabilities.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Proven experience in AI/ML platform design and implementation.
• Expertise in SAS Viya, R-Studio, Nvidia GPUs, and Cloudera CML.
• Hands-on experience with MLOps, LLMOps, and Generative AI.
• Deep understanding of AI/ML applications in the telecom sector.
• Proficiency in cloud platforms such as Azure ML, GCP ML, and AI stacks.
• Strong project management skills with the ability to lead cross-functional teams.
• Excellent problem-solving and communication skills.

Preferred Skills:

• Certifications in AI/ML or cloud platforms (e.g., Azure AI Engineer, Google Cloud ML Engineer).
• Knowledge of data engineering and big data tools.
• Familiarity with emerging trends in AI, such as foundation models and synthetic data.