AI / ML Engineer
Accenture in the Philippines
Date: 1 day ago
City: Mandaluyong City
Contract type: Full time
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 / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud services. Your typical day will involve collaborating with various teams to design and implement production-ready solutions, applying generative AI models, and ensuring the quality and efficiency of the application pipeline. You will also be responsible for problem-solving and providing innovative solutions to enhance the overall functionality of the systems you work on. 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 a collaborative environment. - Continuously evaluate and improve existing processes and workflows to enhance team productivity. - Stay updated with the latest advancements in AI and machine learning technologies to inform team strategies. -With experience in DataIKU. Professional & Technical Skills: - Required Skill: Expert proficiency in Data Science and DataIKU. - Strong understanding of machine learning algorithms and their applications. - Experience with data preprocessing and feature engineering techniques. - Proficiency in programming languages such as Python and R. - Familiarity with cloud platforms and services related to AI and machine learning. - Experience in deploying machine learning models in production environments. Additional Information: - The candidate should have minimum 3 years of experience in Data Science. - This position is based at our Manila office. Minimum 3 year(s) of experience is required Minimum 3 year(s) of experience is required
Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud services. Your typical day will involve collaborating with various teams to design and implement production-ready solutions, applying generative AI models, and ensuring the quality and efficiency of the application pipeline. You will also be responsible for problem-solving and providing innovative solutions to enhance the overall functionality of the systems you work on. 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 a collaborative environment. - Continuously evaluate and improve existing processes and workflows to enhance team productivity. - Stay updated with the latest advancements in AI and machine learning technologies to inform team strategies. -With experience in DataIKU. Professional & Technical Skills: - Required Skill: Expert proficiency in Data Science and DataIKU. - Strong understanding of machine learning algorithms and their applications. - Experience with data preprocessing and feature engineering techniques. - Proficiency in programming languages such as Python and R. - Familiarity with cloud platforms and services related to AI and machine learning. - Experience in deploying machine learning models in production environments. Additional Information: - The candidate should have minimum 3 years of experience in Data Science. - This position is based at our Manila office. Minimum 3 year(s) of experience is required Minimum 3 year(s) of experience is required
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