Summary:
As an AI Engineer/Tech Lead, you will play a pivotal role in leading a multi-disciplinary technical team to develop complex AI solutions. Your expertise in building generative AI solutions from proof of concept to production state, interfacing with stakeholders, and managing junior resources will directly contribute to our mission of leveraging technology to drive innovation in assessment research. Your work will have a direct impact on our wider mission and values by ensuring the delivery of cutting-edge AI solutions to our internal and external stakeholders.

Landscape:
You will lead a multi-disciplinary technical team and have the responsibility of guiding junior resources. Reporting into this role are individual contributors with expertise in AI development, deployment, and infrastructure setup. As a leader within the team, you will interface with internal and external stakeholders, presenting the team's work to the client, and contributing to shaping the solution infrastructure.

Activities:
• Lead a multi-disciplinary technical team in creating complex AI solutions
• Build AI solutions from proof of concept to production state
• Develop AI solutions in Azure, including generative AI solutions utilizing Azure OpenAI and other Large and Small Language Models
• Deploy Azure-based AI solutions to production environments
• Provide input on the solution infrastructure and setup
• Interface with internal and external stakeholders, presenting team's work to clients
• Build asynchronous applications
• Independently work on projects and guide junior resources
• Deploy code through Azure Pipelines and Azure DevOps

Professional & Technical Skills:
• Extensive experience in Python, Pyspark, and Azure SDKs
• Proven expertise in developing AI solutions in Azure
• Strong understanding of deploying Azure-based AI solutions to production environments
• Experience in presenting technical work to clients
• Ability to work independently and guide junior resources
• Proficiency in building asynchronous applications
• Hands-on experience with Azure Pipelines and Azure DevOps
• Experience in implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms
• Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity
• Additional Good To Have Skills: Experience with Microsoft Azure App Service, Microsoft Azure Data Services, PySpark


Additional Information:
• The candidate should have minimum 3 years of experience in Generative AI
• This position is based at our Manila office
Minimum 3 year(s) of experience is required

About Accenture

We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.Join Accenture to work at the heart of change.

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