AI/ML Computational Science Specialist

Accenture · Manila

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.

Summary: As an AI / Machine Learning Engineer, a typical day involves designing and developing advanced applications and systems that leverage artificial intelligence tools and cloud-based AI services. The role includes building robust application pipelines that are production-ready, integrating generative artificial intelligence models, and working on diverse technologies such as deep learning, neural networks, chatbots, and image processing. Collaboration with various teams to ensure seamless deployment and continuous improvement of AI solutions is a key part of daily activities. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing and mentorship within the team to foster professional growth. - Coordinate cross-functional efforts to align AI initiatives with organizational goals. - Monitor project progress and implement improvements to enhance efficiency and quality. Professional & Technical Skills: - Required Skill: Expert proficiency in GCP - Vertex AI. - Strong understanding of cloud-based machine learning workflows and deployment strategies. - Experience with designing and implementing scalable AI models using cloud infrastructure. - Familiarity with generative artificial intelligence techniques and their practical applications. - Proficient in managing data pipelines and ensuring data quality for AI model training and inference. - Ability to optimize AI models for performance and cost efficiency in cloud environments. Additional Information: - The candidate should have minimum 3 years of experience in GCP - Vertex AI. - This position is based at our Manila office. Minimum 3 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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We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

AI Engineering pay context

Based on 592 disclosed AI Engineering salaries on RoleSuite, the role pays a median of $200K/year, with most offers between $164K and $236K (10th–90th percentile: $131K–$272K).

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