Senior Specialist - Cloud Engineering

Job Title Azure Machine Learning Lead and Architect

Location Redmond WA

Position Type Fulltime

Job Summary

We are seeking an experienced and innovative Azure Machine Learning Lead and Architect to join our dynamic team In this role you will lead the design development and implementation of advanced machine learning models and solutions using the Azure platform You will collaborate with crossfunctional teams to understand business requirements and translate them into scalable and efficient ML solutions The ideal candidate has a strong background in machine learning data science and cloud architecture with a proven track record of leading ML projects from conception to deployment Experience in the marketing domain is a significant advantage

Key Responsibilities

Leadership and Strategy

Lead the endtoend development and deployment of machine learning models and solutions on Azure

Develop and implement the strategic vision for machine learning initiatives in alignment with business goals

Mentor and guide a team of data scientists ML engineers and data engineers

Stay updated with the latest advancements in machine learning AI and cloud technologies and apply them to improve solutions

Architectural Design and Development

Design scalable robust and costeffective ML architectures on the Azure platform

Work closely with stakeholders to gather and analyze requirements and translate them into technical solutions

Implement best practices for ML model development deployment and monitoring

Ensure the security and compliance of ML solutions with industry standards and regulations

Collaboration and Communication

Collaborate with data engineers software developers and other IT professionals to integrate ML solutions with existing systems

Communicate complex technical concepts to nontechnical stakeholders in a clear and concise manner

Foster a culture of innovation continuous learning and collaboration within the team

Operational Excellence

Optimize ML models for performance scalability and costefficiency

Monitor and maintain ML solutions to ensure they meet performance and reliability standards

Troubleshoot and resolve issues related to ML models and Azure infrastructure

Customer Engagement and Demonstrations

Demonstrate and oversee demonstrations eg architectural design sessions and proof of concept POC sessions of products services and integration through initial engagements

Leverage partnercustomer teams as needed to prove capabilities and integration into the customer environment

Present and apply architecture patterns to partners or customers and drive crossworkload support for Microsoft Solutions

Apply sales methodologies eg challenger sales and coach the team in addressing customer digital transformation and leveraging insights to align new or changing technology to customer business needs

Qualifications

Education

Bachelors or Masters degree in Computer Science Data Science Machine Learning or a related field A PhD is a plus

Experience

8 years of experience in machine learning data science or a related field

5 years of handson experience with Azure Machine Learning and other Azure services

Proven experience in leading and managing ML projects and teams

Strong background in statistical analysis machine learning algorithms and data processing techniques

Experience in the marketing domain is a significant advantage

Technical Skills

Proficiency in programming languages such as Python and SQL

Experience with ML frameworks and libraries such as TensorFlow PyTorch and Scikitlearn

Indepth knowledge of Azure services including Azure ML Azure Data Factory Azure Databricks Azure Synapse Azure Functions and Azure Cosmos DB

Familiarity with DevOps practices and tools for ML MLOps including CICD pipelines

Experience with Microsoft Azu