Microsoft Azure Machine Learning – Technology Architect

Who we are:

Accenture in the Philippines is a pioneer in Accenture’s global delivery network. Over the past 30 years, we have expanded our capabilities to become a powerhouse company providing end-to-end technology and business services. As part of Accenture’s global footprint in over 120 countries, covering 40-plus industries, we have been working with the biggest companies in the country and around the globe.

Innovation, a constant at Accenture, enables us to find new ways to stay ahead of our clients’ challenges. Our inclusive, diverse, and strong culture of equality helps us constantly drive innovation in the workplace. By combining our industry expertise and the deep skills of our people with the latest technologies and our uncompromising high-performance standards, we help organizations grow their business and succeed in the digital age.

The work:

• As a Technology Architect, you will be responsible for designing and delivering technology architecture for a platform, product, or engagement. Your typical day will involve defining solutions to meet performance, capability, and scalability needs.
• Serve as the Subject Matter Expert (SME) on the technology, providing expert insights and guidance to the team.
• Take responsibility for key technical decisions, ensuring they align with organizational objectives and best practices.
• Collaborate with cross-functional teams to understand business needs and integrate solutions seamlessly.
• Lead the project lifecycle from conception to deployment, ensuring scalability, reliability, and performance of solutions.
• Provide technical leadership and support to team members, fostering their professional growth and enhancing team capabilities.
• Work closely with stakeholders to identify opportunities and drive business solutions.

Here’s what you’ll need:

• Bachelor's Degree in Information Technology, Computer Science, or other related fields.
• Professional & Technical Skills:

Required Skill: Expert proficiency in Microsoft Azure Machine Learning

Preferred Additional Skills:

• Experience with Microsoft Azure Data Services (e.g., Azure Data Factory, Azure Synapse Analytics, Azure Databricks), Python (Programming Language)
• Strong understanding of cloud computing principles, particularly as they relate to Azure services and architecture.
• Experience in designing scalable and reliable technology solutions in Azure.
• Experience in deploying models/solutions as web services using Azure Kubernetes Service (AKS) or Azure Functions.
• Proficiency in data modeling and analysis.
• Azure DevOps for managing the lifecycle of models/solutions, including CI/CD pipelines.

Certifications (at least 1):

• DP-100 Azure Data Scientist Associate
• DP-203 Azure Data Engineer Associate
• AZ-305 Azure Solutions Architect
• AI-102 Azure AI Engineer Associate

What’s in it for you?

• You will be part of Accenture’s growing community of technology professionals, continually expanding to provide the best services to our clients.
• At Accenture, you will be working on innovative projects, while being exposed to the latest emerging technologies and industry best-practices.
• We offer trainings and development programs and courses to help you grow your own tech stack and certifications.

What we believe

All our leaders are committed to building a better, stronger, and more durable company for future generations to create positive, long-lasting change. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and creative, which helps us better serve our clients and our communities.

Our position as partner to many of the world’s leading businesses, organizations and governments affords us both an extraordinary opportunity and a tremendous responsibility to make a difference. Sustainability is one of our greatest responsibilities, which we embed it into everything we do and for everyone we work with.

Accenture is committed to providing equal employment opportunities for persons with disabilities. Please let your recruiter know if you require reasonable accommodation to enable your participation in the recruitment process, they will be happy to assist you.

#LI-PH

Summary: As a Technology Architect, you will be responsible for reviewing and integrating all application requirements, including functional, security, integration, performance, quality, and operations requirements. You will also provide input into final decisions regarding hardware, network products, system software, and security. Your typical day will involve working with Microsoft Azure OpenAI Service and Microsoft Azure App Service to design and implement technical architectures. Key Responsibilities: Design and implement AI solutions using Microsoft Azure AI services including Azure Machine Learning, Azure Cognitive Services, Azure Databricks, and other relevant Azure services. Lead the AI project lifecycle from conception to deployment, including data collection, preprocessing, model training, validation, and deployment. Collaborate with cross-functional teams (including data scientists, engineers, product managers) to understand business needs and integrate AI solutions seamlessly. Stay current with the latest Azure AI developments and trends, continuously exploring new tools and technologies to improve our solutions. Ensure the scalability, efficiency, and security of AI systems in line with organizational goals and compliance requirements. Provide technical leadership and mentorship to junior team members. Work closely with stakeholders to identify opportunities for leveraging company data to drive business solutions. Qualifications: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. Minimum of 5 years of experience in AI/ML projects, with a focus on using Azure technologies. Strong understanding of Azure AI services, cloud architecture, and Azure DevOps. Proficiency in programming languages such as Python, R, or Scala. Experience in designing and implementing machine learning models and data pipelines. Strong problem-solving skills and ability to work in a fast-paced environment. Excellent communication and teamwork skills. Preferred Skills: Certifications in Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect. Experience with big data technologies such as Hadoop, Spark, or Kafka. Familiarity with AI ethics and responsible AI practices. Previous experience in a consultancy or client-facing role. Minimum 5 year(s) of experience is required