AI / ML Engineer
Accenture in the Philippines
Date: 2 weeks 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 team members to design and implement production-ready solutions, applying advanced machine learning techniques, and ensuring the integration of various AI models into existing systems. You will also be responsible for troubleshooting and optimizing these applications to meet performance standards and user requirements. 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, develop, and implement machine learning models and algorithms to solve complex problems. - Monitor and evaluate the performance of machine learning models and make necessary adjustments. - Document processes, methodologies, and results to ensure knowledge sharing within the team. - Stay updated with the latest advancements in AI and machine learning technologies to continuously improve solutions. Professional & Technical Skills: - Required Skill: Expert proficiency in Machine Learning. - Additional Good To Have Skills: Experience with Extract Transform Load (ETL), Python (Programming Language), Google BigQuery. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience in developing and deploying scalable machine learning models in cloud environments. - Proficient in data preprocessing and feature engineering techniques. - Ability to work with large datasets and perform data analysis to derive insights. Additional Information: - The candidate should have minimum 2 years of experience in Machine Learning. - This position is based at our Manila office. Minimum 2 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 team members to design and implement production-ready solutions, applying advanced machine learning techniques, and ensuring the integration of various AI models into existing systems. You will also be responsible for troubleshooting and optimizing these applications to meet performance standards and user requirements. 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, develop, and implement machine learning models and algorithms to solve complex problems. - Monitor and evaluate the performance of machine learning models and make necessary adjustments. - Document processes, methodologies, and results to ensure knowledge sharing within the team. - Stay updated with the latest advancements in AI and machine learning technologies to continuously improve solutions. Professional & Technical Skills: - Required Skill: Expert proficiency in Machine Learning. - Additional Good To Have Skills: Experience with Extract Transform Load (ETL), Python (Programming Language), Google BigQuery. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience in developing and deploying scalable machine learning models in cloud environments. - Proficient in data preprocessing and feature engineering techniques. - Ability to work with large datasets and perform data analysis to derive insights. Additional Information: - The candidate should have minimum 2 years of experience in Machine Learning. - This position is based at our Manila office. Minimum 2 year(s) of experience is required
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