AI / ML Engineer

Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.

Cognitive Engineering Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with team members to design and implement production-ready solutions, utilizing the Databricks Unified Data Analytics Platform to enhance data processing and analytics capabilities. You will also explore the integration of generative AI models into various applications, ensuring high-quality outputs and efficient workflows. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. - Design and implement scalable AI solutions using the Databricks Unified Data Analytics Platform. - Monitor and optimize the performance of AI models and applications in production environments. - Stay updated with the latest advancements in AI and machine learning technologies to enhance project outcomes. - Provide mentorship and guidance to junior team members on best practices in AI development. Professional & Technical Skills: - Required Skill: Expert proficiency in Databricks Unified Data Analytics Platform. - Strong understanding of machine learning algorithms and their applications. - Experience in developing and deploying AI models in cloud environments. - Proficiency in programming languages such as Python or Scala. - Familiarity with data engineering concepts and tools for data preparation and transformation. Additional Information: - The candidate should have minimum 2 years of experience in Databricks Unified Data Analytics Platform. - This position is based at our Manila office. Minimum 2 year(s) of experience is required

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

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